Undelucram.ro on behalf of: Crowdstrike SRL About the Role: CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do: Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need: Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development

Who is Trace3? Trace3 is a leading Transformative IT Authority providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate Automate Innovate. Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it! Trace3 is headquartered in Irvine California. We employ more than 1200 people all over the United States. Our major field office locations include Denver Indianapolis Grand Rapids Lexington Los Angeles Louisville Texas San Francisco.   Ready to discover the possibilities that live in technology?   Come Join Us! Street-Smart - Thriving in Dynamic Times We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems. Juice - The “Stuff” it takes to be a Needle Mover We get things done and drive results. We lead without a title empowering others through a can-do attitude. We look forward to the goal mentally mapping out every checkpoint on the pathway to success and visualizing what the final destination looks and feels like. Teamwork - Humble Hungry and Smart We are humble individuals who understand how our job impacts the company's mission. We treat others with respect admit mistakes give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials struggles and failures – not just their success. We appreciate the individuality of the people around us.  ABOUT THE ROLE: The Solutions Architect for Collaboration at Trace3 is a consultative role focused on building relationships with clients through technology and solutions. The Solutions Architect provides the expertise to investigate and understand an existing environment gather business requirements and formulate technical and/or business solutions for achieving those requirements across a constantly evolving landscape of leading technologies. This is a customer-facing role that requires strong communication skills and the ability to interpret and explain technical information to and from a variety of audiences both technical and non-technical. This position will also be responsible for the definition of standards pre-sales engagement activities and where necessary taking an active delivery role to ensure success of product and project-based work. The Solutions Architect may perform assessments requirements gathering proof-of-concept technical workshops and oversee and support the delivery teams as needed. This role will also champion sales enablement by analyzing client processes understanding the client’s business landscape defining requirements and expertly delivering solutions and strategies within the employee and customer experience space with a strong emphasis on artificial intelligence. As a member of the Contact Center & Collaboration business unit this position will collaborate with other technology practices to develop integrated solution offerings for our clients. The Solution Architect has unique responsibilities to collaborate with other Business Units and Regional Resources within Trace3 to continually develop refine and mature joint GTM strategy offering and delivery of Trace3 services as a unique differentiator in the market.   WHAT YOU'LL DO: Support critical and relevant partner relationships Create and refine delivery standards for relevant solutions Develop and transition strategic partnerships from emerging to core practices Develop and lead training for Trace3 resources Engage with Sales Partners and customers to drive the value proposition of Trace3’s Customer Success motion Deliver the overall vision and plan for the theatre to our largest customers ensuring they choose use and love Contact Center & Collaboration technology Build a strong interlock with Sales Delivery and Renewals to provide an industry-leading customer experience for Trace3 clients on their adoption journey Oversee each project’s lifecycle from inception to completion with an emphasis on technical soundness and resource efficiency Responsible for overseeing and ensuring optimal client satisfaction throughout the entire lifecycle of the engagement by delivering the Trace3 “Total Customer Experience” Triage and resolve escalations of issues when needed Develop and maintain strategic partnerships with Technical Leaders within our client’s organizations Responsible for leading coaching and mentoring team members and supporting their professional development Partner and collaborate with Sales Teams and other Technology Teams to deliver and present industry best programs and services to clients Build and maintain strong and long-lasting relationships with our key partners Assist with technical scoping and Statements of Work (SOW) for assigned accounts Be an inspirational role model by challenging and improving the strength of the delivery teams and aligning their efforts to the mission and vision of the organization Ensure close collaboration with Sales and Renewals teams to build a pipeline of Renewals and Expansion opportunities   QUALIFICATIONS & INTERESTS: Bachelor’s Degree or equivalent experience with a minimum of ten (10)+ years’ progressive collaboration and contact center experience Extensive experience working for a collaboration or consulting company and developing strategic profitable solution architecture plans Minimum of five (5)+ years of experience with public private and cloud strategy and/or architecture experience Current and deep understanding in the technology space for UCaaS CCaaS employee experience customer experience and artificial intelligence solutions for human to human human to machine and machine to machine interactions Certifications in one or more of the following technologies: Twilio Amazon Connect Webex Calling Webex Contact Center Cisco Collaboration Cisco PCCE/UCCE Cisco CVPD Microsoft Teams Microsoft Viva RingCentral Five9 8x8 Avaya Genesys InContact Zoom Vonage or equivalent experience Development experience in a team-oriented workplace outstanding interpersonal employee coaching and strong communication skills Excellent understanding of business environments and challenges of IT operations in an enterprise level corporation Strong financial and business acumen with understanding of a multi-faceted business operation Ability to think outside the box and develop solutions to accomplish seemingly impossible tasks while remaining risk and objective focused Ability to approach customer and sales requests in a proactive and consultative manner listen to and understand user needs and effectively deliver solutions Ability to cope with change make decisions manage and mitigate risk and uncertainty Excellent oral written communication and presentation skills with an ability to present technical issues to C-Level Executives and non-technical audience    Actual salary will be based on a variety of factors including location experience skill set performance licensure and certification and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation such as bonuses or commissions that is not included in the base salary.Estimated Pay Range$175000 - $200000 USD The Perks Comprehensive medical dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match 529 College Savings Plan Health Savings Account Life Insurance and Long-Term Disability Competitive Compensation Training and development programs Stocked kitchen with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off   Our Commitment At the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership character and passion in all that we do. We’re committed to fostering an inclusive workplace where everyone feels respected valued and empowered to grow. We recognize that embracing diversity drives innovation improves outcomes fosters collaboration boosts teammate satisfaction and builds a more inclusive culture. As an equal opportunity employer Trace3 bases all employment decisions based on individual qualifications merit and business requirements. We do not engage in discrimination on the basis of race color religion sex (including gender identity sexual orientation and pregnancy) national origin age (40 or older) disability genetic information or any other characteristic protected by federal state or local law. Any demographic information provided is strictly voluntary kept confidential in accordance with Equal Employment Opportunity (EEO) regulations and will not be used in employment decisions including hiring promotions or mentorship programs. We are committed to providing equal employment opportunities for all. If you require a reasonable accommodation to complete the application process or participate in an interview please email recruiting@trace3.com.   To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs.

We are offering a fast-paced 2 week graduate program designed for students or career changers looking to gain hands-on experience in software development and learn how AI is reshaping the development lifecycle. This is a practical sprint-style internship where you'll work through the full SDLC—from ideation to delivery—on a micro-project designed to simulate real-world experience. What You’ll Gain: Practical portfolio-ready experience across the full SDLC Exposure to AI tools in software development Understanding of agile delivery principles and fast iteration A certificate of completion and personalised feedback Optional: Letter of recommendation (based on performance) Time Commitment: Duration: 2 weeks Estimated Time: 15 hours per week Flexible hours with suggested milestones provided Compensation: This is an unpaid graduated program designed for rapid learning and portfolio-building. The experience is educational and intended to provide a springboard for people willing to learn. Tasks What You’ll Do: Participate in a rapid software development project focused on building a functional MVP (Minimum Viable Product) Learn and apply key stages of the Software Development Lifecycle: Requirements gathering Solution design Development Testing Deployment Feedback & iteration Use AI-assisted tools (e.g. GitHub Copilot ChatGPT or similar) to speed up ideation coding and documentation Collaborate in a simulated team environment using version control (Git) task boards and daily check-ins Present your project outcomes along with a short write-up of what you learned from each phase of the SDLC Requirements Ideal For: Students in computer science or related fields Career changers exploring software development Self-learners seeking structured experience to build a portfolio Individuals curious about integrating AI into software workflows

"Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs but promotes jobs on LinkedIn on behalf of its direct clients recruitment ad agencies and marketing partners. Lensa partners with DirectEmployers to promote this job for UnitedHealth Group. Clicking ""Apply Now"" or ""Read more"" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care pharmacy benefits data and resources they need to feel their best. Here you will find a culture guided by inclusion talented peers comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The AI Transformation and Strategy team led by our Chief AI Transformation and Strategy Officer owns the development of our enterprise AI strategy and modernization agenda. Our small but highly empowered team drives high-impact AI initiatives to deliver significant value to our business and those we serve. As the Director of Planning and Strategy you will support and work hand-in-hand with our Chief AI Transformation and Strategy Officer developing content working with businesses and delivering analyses that will advance our mission through AI. You will partner with business and technology stakeholders to develop AI/ML strategies for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare Optum Financial Optum Health Optum Insight and Optum Rx. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities Enterprise strategy Partner with internal business and technology stakeholders to define and execute an enterprise-wide AI strategy that aligns with UnitedHealth Group’s business goals regulatory requirements and healthcare industry trends Analyze market trends the competitive landscape and emerging AI technologies to identify opportunities for improved healthcare quality and outcomes commercialization and operations / efficiency Generate analyses to quantify the business case and expected value for any AI engagement Guide strategic investment decisions and execution strategies for AI initiatives ensuring alignment with UHG’s business and quality objectives Foster a culture of AI literacy across the organization enabling business leaders to leverage AI for strategic decision-making Ensure consistency in internal and external communications used to describe AI applications at UHG establishing UHG as a leader in ethical healthcare AI Product strategy Partner with UHG’s AI product and engineering teams to define the vision roadmap and execution strategy for AI-powered products and solutions within UHG Establish best practices for AI use case identification model development and output validation ensuring compliance with healthcare regulations (HIPAA CMS etc.) Develop frameworks for measuring AI value and ROI ensuring alignment with business KPIs quality standards and key timelines Support culture of responsible AI practices including bias mitigation transparency and fairness in AI builds and implementations Corporate Development and Partnerships Lead AI-related corporate development strategy identifying and evaluating acquisition and partnership targets that enhance UHG’s ability to operate at the highest standards Structure strategic partnerships and implementations with AI technology providers startups research institutions and industry partners to drive innovation and accelerate AI’s impact within UHG Create integration plans for acquired AI technologies ensuring seamless alignment with existing platforms and business units Implementation and Execution Drive stakeholder alignment across business operations and technology to ensure AI engagements are set up to deliver measurable outcomes receive cross-functional support and minimize business disruption Define and track KPIs of AI implementations to measure success of implementation and delivery of expected value across operational efficiencies cost reduction and/or member outcomes You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications 6+ years of professional experience 4+ years of strategy experience with prior experience working with highly complex initiatives 2+ years of leadership experience Demonstrated experience leading initiatives partnering with senior stakeholders and driving impact at scale Preferred Qualifications MBA 5+ years of post-graduate degree experience in consulting investment banking or analogous corporate experience 5+ years of healthcare industry experience. Demonstrated expertise in healthcare especially the payor or provider space a major plus as is working knowledge of UnitedHealthcare Optum and/or UHG businesses Experience with AI/ML strategy product and/or technical experience Experience managing P&L and/or budget responsibilities All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy Pay is based on several factors including but not limited to local labor markets education work experience certifications etc. In addition to your salary we offer benefits such as a comprehensive benefits package incentive and recognition programs equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132200 to $226600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race gender sexuality age location and income–deserves the opportunity to live their healthiest life. Today however there are still far too many barriers to good health which are disproportionately experienced by people of color historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race national origin religion age color sex sexual orientation gender identity disability or protected veteran status or any other characteristic protected by local state or federal laws rules or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. If you have questions about this posting please contact support@lensa.com"

This position is posted by Jobgether on behalf of Higher Logic. We are currently looking for an AI Solutions Architect in United States. In this role you will act as the driving force behind cutting-edge AI initiatives transforming bold ideas into practical solutions that shape the future of software. Partnering closely with leadership you will explore emerging technologies design advanced prototypes and guide the integration of AI capabilities into innovative SaaS applications. This position is ideal for a forward-thinking technologist who thrives in uncharted territory and is passionate about pushing boundaries. You'll serve as both a visionary and a hands-on architect inspiring others while tackling the most complex technical challenges. This is a unique opportunity to leave your mark by redefining how AI enhances digital experiences. Accountabilities: Research design and prototype advanced AI-driven solutions based on high-level concepts Continuously explore emerging AI technologies trends and tools to identify opportunities for innovation Lead the technical design and integration of AI capabilities into SaaS applications Mentor and inspire the engineering team fostering a culture of innovation and knowledge sharing Troubleshoot and solve complex architectural and coding challenges in unexplored domains Requirements Proven passion and expertise in AI machine learning and emerging technologies Strong ability to work independently and drive innovation in new directions Skilled at translating abstract ideas into actionable technical solutions Advanced knowledge of Python and React Excellent communication and leadership skills with the ability to teach mentor and inspire others Benefits Competitive compensation package Flexible and innovative work environment Opportunities for professional growth and leadership in emerging AI technologies Collaborative culture that values creativity independence and thought leadership Comprehensive benefits package including healthcare and paid time off Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly analyzing your skills experience and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent skills-based and free of bias — focusing solely on your fit for the role. Once the shortlist is completed we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!

Company Overview The Coach Agency founded in December 2021 in Accra Ghana is a leading provider of event ushering and recruitment services. Known for professionalism and innovation we serve private events corporate functions product activations commercial modeling and talent acquisition. Expanding our vision we are now seeking top tech talent to support our clients and internal projects in blockchain and artificial intelligence. Role Overview We are hiring a Remote Blockchain & AI Developer to join our growing team. This role involves designing developing and deploying blockchain-based solutions and artificial intelligence models that drive innovation and efficiency. You will work remotely collaborating with cross-functional teams on diverse projects including smart contracts decentralized applications (dApps) machine learning models and natural language processing (NLP). Key Responsibilities Design and develop blockchain solutions (smart contracts dApps tokenization etc.). Build and optimize AI/ML models for tasks such as pattern recognition NLP and predictive analytics. Research and implement cutting-edge blockchain and AI frameworks. Collaborate with product managers engineers and business teams to align solutions with business goals. Ensure scalability security and reliability of developed solutions. Stay updated with industry trends in Web3 AI and emerging technologies. Qualifications Proven experience in Blockchain Development (Ethereum Solidity Hyperledger or similar platforms). Strong knowledge of AI/ML frameworks (TensorFlow PyTorch scikit-learn etc.). Hands-on experience with Neural Networks Pattern Recognition and NLP . Proficiency in programming languages such as Python JavaScript or Rust . Understanding of smart contract security cryptography and distributed systems. Ability to work independently in a remote setup and deliver results. Strong analytical problem-solving and communication skills. Bachelor’s degree in Computer Science Engineering or a related field (Master’s degree or certifications in Blockchain/AI are a plus). Preferred Skills (Nice-to-Have) Experience integrating blockchain with AI-driven applications. Knowledge of Web3 tools (Metamask Truffle Hardhat IPFS etc.). Familiarity with cloud platforms (AWS Azure GCP) for AI deployment. What We Offer A fully remote and flexible work environment. Opportunity to work on impactful blockchain and AI projects. Competitive compensation package (based on experience). Career growth within a forward-thinking and innovative agency.

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance.

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams. As the Director of Data Science for AI Engineering you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing threat analysis and automated response generation. Simultaneously you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications. What You'll Do Lead data science for flagship AI products that are transforming cybersecurity operations globally Work on technology that processes security data for Fortune 100 companies and thousands of security professionals Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact customer-facing context Join a role that sits at the forefront of AI in cybersecurity defining how AI will be adopted in enterprises to combat threats Key Responsibilities Strategic Partnership & Leadership Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks Work closely with GenAI Platform engineering to align vector database RAG systems and LLM serving infrastructure with Charlotte AI's conversational AI requirements Co-develop LLM fine-tuning prompt engineering and model evaluation standards specifically for Charlotte AI and GenAI Platform teams Charlotte AI Collaborative Development Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline distinct from traditional ML models in Falcon Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts Partner with engineering teams to establish robust LLM deployment pipelines prompt versioning and model monitoring workflows specific to generative AI Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations GenAI Platform Engineering Collaboration Partner with infrastructure teams to co-design LLM serving architecture vector database systems and RAG pipelines for conversational AI and agentic workflows Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI internal tooling and coding assistants Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models Partner with observability engineers to design comprehensive LLM monitoring token usage tracking and generative AI performance alerting systems Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI agentic workflows and internal AI tooling Collaborative Team Leadership Build and lead a specialized data science team focused exclusively on LLM research prompt engineering and generative AI applications for cybersecurity - embedded with Charlotte AI and GenAI Platform engineering teams Foster deep collaboration between LLM researchers and AI engineers through shared OKRs and cross-functional mentoring Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning prompt optimization RAG system development and agentic AI workflows Technical Excellence & Innovation Stay at the forefront of AI/ML research particularly in areas relevant to cybersecurity Drive adoption of state-of-the-art techniques in large language models multimodal AI and agentic systems Establish rigorous experimentation frameworks and A/B testing methodologies Ensure responsible AI practices including bias detection fairness and explainability Lead efforts in model security adversarial robustness and AI safety Impact You'll Drive Optimize systems that eliminate 40+ hours of manual work per week for customers Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52% Scale AI infrastructure serving 8000+ internal employees across engineering sales marketing and HR Drive technology that processes thousands of daily queries improving productivity and decision-making Products You'll Impact Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes with agentic response capabilities recognized as among 2025's hottest cybersecurity products GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10000+ employees while maintaining security and reliability What You'll Need Education & Experience PhD in Computer Science Machine Learning Statistics or related quantitative field OR Master's degree with 8+ years of relevant industry experience 5+ years of experience leading data science teams in production environments 3+ years of experience with large language models generative AI or related technologies Technical Expertise Deep expertise in machine learning deep learning and statistical modeling Extensive experience with LLMs transformer architectures and generative AI techniques Proficiency in Python R or similar languages for data science and ML Experience with ML frameworks (PyTorch TensorFlow Hugging Face etc.) Strong background in MLOps model deployment and production ML systems Experience with cloud platforms (AWS Azure GCP) and distributed computing Knowledge of vector databases embedding models and RAG architectures Team Culture & Collaborative LeadershipCollaborative Leadership & Communication Lead within a startup mindset inside a global cybersecurity leader Partner with teams that operate with complete autonomy and end-to-end ownership Collaborate with cross-functional units including dedicated product managers UX designers and security strategists Work in a culture of innovation mentorship and continuous learning with rapid experimentation and release cycles Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction Foster collaboration across Romania (primary hub) Europe and expanding US presence Proven experience leading data science teams in close partnership with engineering organizations Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives Strong ability to facilitate technical discussions between data science and engineering teams driving consensus on architectural decisions Experience co-presenting technical roadmaps and results with engineering partners to executive leadership Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale Preferred Qualifications Domain Expertise Experience in cybersecurity threat detection or security analytics Background in anomaly detection fraud detection or similar security-adjacent domains Knowledge of cybersecurity frameworks threat intelligence and security operations Experience with time-series analysis log analysis or security event correlation Advanced Technical Skills Experience with agentic AI systems multi-agent frameworks or autonomous systems Background in reinforcement learning particularly for decision-making systems Experience with model interpretability explainable AI and responsible AI practices Knowledge of federated learning privacy-preserving ML or secure computation Experience with real-time ML systems and low-latency inference Industry Experience Previous experience leading data science teams focused on LLM applications generative AI or conversational AI systems in close collaboration with engineering organizations Track record of partnering with engineering teams to deliver enterprise B2B generative AI products LLM-powered customer-facing systems or agentic AI workflows Background in collaborative development of LLM-based AI products that operate at scale with specific experience in vector databases RAG systems and LLM serving infrastructure Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities distinct from traditional ML model development Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance.

Remote Sales & Outreach Support Assistant Location:  Remote Hours:  Part-time or Full-time with at least  4 hours daily overlap with BST/GMT. Comfortable working in a remote setting. About the Role We are hiring a motivated  Sales & Outreach Support Assistant  to partner directly with our CEO on building and scaling a  high-ticket sales operation . The role starts with hands-on outreach lead generation and client engagement and is designed to  develop into a leadership position  where you will manage and grow a global SDR (Sales Development Representative) team. You’ll receive  direct mentorship from the CEO gain international exposure and participate in our growth journey as we scale through  Daits.org AI certification & marketplace . Responsibilities Support CEO with  outreach to high-ticket prospects  (LinkedIn email CRM follow-ups) Research and qualify new leads in target markets Draft and send professional outreach messages and proposals Maintain CRM accuracy and pipeline reporting Provide daily/weekly updates to the CEO Assist with sales operations and client onboarding tasks Requirements ✅ Strong English communication skills (written & spoken) ✅ Available part-time or full-time with  minimum 4 hours overlap with BST/GMT ✅ Highly organised reliable and detail-oriented ✅ Comfortable using LinkedIn CRM tools and digital outreach platforms ✅ Ambitious target-driven and eager to grow into a  sales leadership role Compensation & Growth 💼  Base + Commission on high-ticket sales 🎯  Token allocations as part of long-term incentives 🚀 Direct coaching from CEO with a clear path into  global SDR team leadership 🌐 Recognition and credibility through  Daits.org AI certification & marketplace 📩  How to Apply Please send: 1. Your CV/resume via easy apply and send cv and cover email to info@daits.org with the following- 2. A short intro about yourself and your experience in sales/outreach 3. Confirmation of your availability and time zone

Director of AI LLM Large Language Models Python Machine Learning RAG Remote UK Role Summary We are seeking a strategic and technically strong Director of AI to lead our research and implementation efforts at the intersection of generative AI and cybersecurity . Reporting directly to the CTO you will define and execute the end-to-end AI strategy — from identifying cutting-edge research opportunities to prototyping advanced capabilities and integrating them into production systems. This is a unique opportunity to lead AI innovation within a well-funded high-growth startup . You will have full ownership of AI research direction evaluation frameworks and prototype development while also building and managing a growing AI team. Your impact will be measured by the innovation you drive and the value your AI solutions add to the product. This role is ideal for a senior AI professional with deep expertise in LLMs and agent systems strong product thinking and the ambition to architect foundational AI systems in a mission-critical domain. Key Responsibilities Lead AI Strategy & Research: Own and execute the technical roadmap for AI staying ahead of research trends to introduce transformative techniques in cybersecurity. Prototype Development: Design and implement end-to-end AI prototypes working as a technical product manager to drive innovation from concept to production. Evaluation Frameworks: Build rigorous systems to evaluate model performance agent behavior fine-tuning quality and real-world product impact. Technical Guidance: Partner with engineering teams to review architectures influence implementation and ensure scalability and performance of AI solutions. Team Leadership: Recruit manage and mentor a high-performing AI team establish strong technical standards and operational processes. Cross-Functional Collaboration: Work closely with engineering leadership to ensure research leads to impactful product features and customer value. Stay at the Research Frontier: Continuously track developments in LLMs agent frameworks and broader AI trends relevant to enterprise and security use cases. Qualifications AI/ML Experience: 7+ years in AI/ML with 3+ years focused on LLMs generative models or agent-based systems. Hands-On Technical Expertise: Deep familiarity with modern transformer architectures fine-tuning methods and agent frameworks. Proven Leadership: Experience leading AI research or development at a top-tier organization or research lab with a track record of delivering innovations that reach production. Research-to-Product Execution: Ability to bridge advanced research with practical product implementations — from academic papers to scalable prototypes. Product-Minded Thinking: Strategic mindset for applying AI to real-world problems strong understanding of measuring and optimizing system performance. Strong Engineering Background: Solid understanding of software engineering principles and scalable AI system architecture. Team Building: Experience managing and mentoring AI researchers and engineers with a focus on building collaborative high-impact teams. NLP & Agents Focus: Extensive background in natural language processing and agent systems with hands-on work using tools such as LangChain LlamaIndex or similar. Preferred (Not Required) Experience applying AI to cybersecurity or enterprise software challenges Background in high-growth AI startups Advanced academic qualifications (e.g. PhD) with publications in top AI venues Experience in AI safety evaluation design or responsible AI practices Expertise in custom AI benchmarking and evaluation frameworks Why This Role? Lead AI Innovation: Own and drive technical strategy at a company redefining how generative AI can secure digital environments. Research-to-Impact Pipeline: See your research directly influence product features with measurable real-world impact. Expert Team Collaboration: Work alongside experienced leaders in AI and cybersecurity enabling both technical depth and rapid execution. Shape the Future of AI in Security: Define best practices and set the foundation for how generative AI transforms an entire industry. High-Growth Opportunity: Take on a senior leadership role at a fast-moving startup with strong funding and significant ownership potential. Director of AI LLM Large Language Models Python Machine Learning RAG Remote UK