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Computer Science Internship Summer 2027

Huntsville, AL

AnaVation is currently looking for hard working bright and energetic undergraduate students to join our 2027 Summer Internship Program. We have opportunities to support software design coding debugging cyber security and data science focuses.    Overview of Internship Program  The summer program offers a ten-week paid internship with AnaVation.  This will be a remote internship but the team will be local to Huntsville AL so in person collaboration will be possible.  The internship program is a combination of mentoring learning activities and project work designed to give broad exposure to the inner workings of a government contracting small business and professional information technology development and support. The nature of the assignments will vary allowing opportunity to exercise customization and creativity while providing a practical and challenging business experience.    Lunch & Learn series with company management and technical leaders  Professional/Career development workshops and activities    ➡ Responsibilities include but not limited to ➡ Cyber Security techniques for offensive and defensive missions  Creating custom software applications including idea development and testing  Developing technology demonstrations leveraging commercial cloud infrastructures (Amazon Web Services (AWS) Microsoft Azure etc.)  Assessment of new application ideas  Research competitor offerings.  Develop applications (coding programming) as team and demonstrating a prototype at the end of the internship to company leadership.  Qualifications ➡ Must be a US citizen with ability to obtain a US Government security clearance. We will offer the opportunity to sponsor successful candidates for a Security Clearance  Computer Science Major with targeted graduation date of May 2028.  Applicants should have excellent analytical and math skills with the ability to work in teams.   Minimum 3.0 grade point average  Computer literacy proficient in the Microsoft Office Suite  Demonstrated work ethic goal-oriented and history of academic success.  Excellent written and verbal communication skills critical thinker leader team player and self-managed learner  Preferred Qualifications ➡ Experience with a group programing project.  Experience with Agile Processes especially Scrum  Proficient in Java and Python  Experience with Front End and/or Back End development.  Experience with NodeJS  Experience with GIT  Experience with Cloud Systems (AWS Azure Google Cloud)  Developing software projects as a hobby.  ➡

Développeur(euse) Full Stack

Remote Canada

Développeur(se) Full-Stack (Python / FastAPI) – 100 % Télétravail Poste affiché par My AI Recruiter pour le compte d'un client technologique en croissance. Vous êtes un(e) développeur(se) de niveau intermédiaire passionné(e) par la création d'APIs performantes la conteneurisation et le déploiement infonuagique? Nous recrutons actuellement un(e) Développeur(se) Full-Stack pour l'un de nos clients partenaires! Bien que ce recrutement soit géré par My AI Recruiter vous travaillerez directement au sein de l'équipe d'ingénierie de notre client pour faire évoluer leur architecture logicielle. Exigences du poste Expérience Minimum 3 ans d'expérience professionnelle en développement full-stack ou backend. Éducation Minimum un DEC en informatique (Diplôme d'études collégiales) ou diplôme/expérience équivalent. Backend Solide maîtrise de Python et FastAPI (ou frameworks Python similaires). APIs et bases de données Expérience avancée dans la conception d'APIs REST et la gestion de bases de données relationnelles SQL. DevOps et Infonuagique Excellente connaissance de Docker des pipelines de déploiement et des environnements Cloud (AWS GCP ou Azure). Lieu de travail 100 % à distance (Autorisation de travailler au Canada requise). Vos responsabilités Concevoir tester et maintenir des APIs REST performantes basées sur Python et FastAPI. Modéliser des schémas de bases de données SQL efficaces et optimiser les requêtes. Conteneuriser les applications avec Docker et participer aux opérations de déploiement cloud. Collaborer avec l'équipe pour livrer des fonctionnalités robustes et prêtes pour la production. Comment postuler Postulez directement sur Indeed OU envoyez votre CV par courriel à recruitment@myairecruiter.tech - Full-Stack Developer (Python / FastAPI) – 100% Remote Position posted by My AI Recruiter on behalf of a growing tech client. Are you a mid-level developer who loves building robust backend APIs containerizing microservices and crafting smooth digital experiences? We are hiring a Full-Stack Developer for one of our prime partner clients! While this role is recruited through My AI Recruiter you will be working directly with our client's engineering team to scale their modern tech stack. Key Requirements Experience Minimum 3 years of professional full-stack or backend-focused development. Education Minimum DEC in Computer Science (Diplôme d'études collégiales) or equivalent degree/experience. Backend Core Hands-on expertise with Python and FastAPI (or similar high-performance Python frameworks). API & Data Strong track record designing RESTful APIs and working with relational SQL databases. DevOps & Infrastructure Solid experience with Docker containerization deployment pipelines and cloud environments (AWS GCP or Azure). Location 100% Remote (Must be authorized to work in Canada). What You Will Do Architect test and maintain high-performance REST APIs powered by Python and FastAPI. Design efficient SQL database schemas and optimize query performance. Containerize applications using Docker and support cloud deployment workflows. Collaborate with cross-functional teams to deliver scalable production-ready software. How to Apply Apply directly on Indeed OR email your CV directly to recruitment@myairecruiter.tech Rémunération  70 00000$ à 90 00000$ par an Avantages  Travail à domicile Lieu du poste Télétravail

Customer Experience Program Manager II

Redmond, WA

Overview As part of the Windows and Windows Cloud product group the Windows Cloud Customer Acceleration Team engages with Windows in the Cloud’s most strategic customers via a data-driven customer/engineering feedback loop as part of their adoption of the service. We are looking for customer-obsessed individuals to drive positive product change through influencing product priorities using customer listening and technical knowledge. Come join a team focused on learning from deep technical engagement with customers to improve Windows 365 and Azure Virtual Desktop (AVD) to accelerate adoption of Windows in the cloud. As a Customer Experience Program Management II you will engage with our most strategic customers across the Americas region to help clear adoption or sales blockers and gather engineering insights to assist in the development of the Windows 365 and Azure Virtual Desktop offerings. This opportunity will allow you to develop your skills as a Customer Experience Program Manager II understand nuances of varied markets across the Americas region and apply this knowledge to help drive engineering innovations. This is a flexible working opportunity allowing for up to 100% work from home and requires approximately 25% travel throughout the region. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities This customer-obsessed individual will engage directly with customers across these areas of responsibility Product & Service Insights Working with the rest of the Windows 365 engineering team use your knowledge from enterprise customers and technical expertise to help guide the future direction of our product. Directly influencing product roadmap to build better products. Ecosystem Enablement Use your knowledge from enterprise customers and broad technical subject matter expertise to train and enable our scalable deployment ecosystem. Driving investments within the ecosystem to build better products for our scale motion. Collaborate with key internal and external partners to identify their business and technical requirements to drive alignment and continuous improvements. Successful Candidates Will Demonstrate These Skills Ability to forge strong relationships with customers (Business Decision Makers CSOs and IT Leaders) speaking on behalf of Engineering helping them understand our value proposition and our services direct experience working with customers is highly desired. Work closely with other product managers software engineers and product marketing teams throughout the product development lifecycle to deliver best-in-class customer experiences. Experience in identifying product gaps and advocating on behalf of the customer to make our products even stronger with proven track record driving the prioritization of product improvements based on actual customer requirements. Demonstrated Broad Technical Awareness & Product Knowledge Across Microsoft 365 endpoint/desktop management (Expertise in the any of the following is advantageous Windows 365 Intune Microsoft Endpoint Manager Configuration Manager Azure Active Directory). Microsoft desktop virtualization (Azure Virtual Desktop Remote Desktop Services). Microsoft Azure technologies specifically networking and compute. Demonstrated knowledge of the software development methodologies. A willingness to travel to and work on-site at customer locations (as the position does require approximately 25% travel). Qualifications Required/Minimum Qualifications Bachelor's Degree in Computer Science Engineering Data Science Math Business or related field AND 2+ years experience in engineering product/technical program management data analysis or product development. + OR equivalent experience. Other Requirements Ability to meet Microsoft customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings Microsoft Cloud Background Check This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Computer Science Engineering Data Science Math Business or related field AND 3+ years experience in engineering product/technical program management data analysis or product development. + OR Bachelor's Degree in Computer Science Engineering Data Science Math Business or related field AND 5+ years experience in engineering product/technical program management data analysis or product development. + OR equivalent experience. W+DJOBS win365 AVD wincloud Customer Experience Program Mgmt IC3 - The typical base pay range for this role across the U.S. is USD $102100 - $202200 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $133800 - $219200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here https//careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

San Jose, CA

At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) Experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

San Francisco, CA

At Capital One we are creating responsible and reliable AI systems changing banking for good. For years Capital One has been an industry leader in using machine learning to create real-time personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable high-performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native at-scale (15000+ users at destination) enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role you will Partner with a cross-functional team of engineers research scientists technical program managers and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design develop test deploy and support AI software components including foundation model training large language model inference similarity search guardrails model evaluation experimentation governance and observability etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters Huggingface VectorDBs Nemo Guardrails PyTorch and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability cost latency throughput — of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate You love to build systems take pride in the quality of your work and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics and your expertise in hardware software and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications Bachelor's degree in Computer Science Engineering or AI plus at least 8 years of experience developing AI and ML algorithms or technologies or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python Go Scala or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS Google Cloud Azure or equivalent private cloud) Experience architecting designing developing integrating delivering and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference Similarity Search and VectorDBs Guardrails Memory) using Python C++ C Java or Golang Master's degree in Computer Science Computer Engineering or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization latency throughput and cost Passion for staying on top of the latest AI research and AI systems and judiciously apply novel techniques in production Excellent communication and presentation skills with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location) $244700 - $279200 for Distinguished AI Engineer Cambridge MA $269100 - $307200 for Distinguished AI Engineer McLean VA $269100 - $307200 for Distinguished AI Engineer New York NY $293600 - $335100 for Distinguished AI Engineer San Francisco CA $293600 - $335100 for Distinguished AI Engineer San Jose CA $293600 - $335100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff Software Engineer, Full Stack (Remote Eligible)

Cambridge, MA

As a Staff Software Engineer at Capital One you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers AI/ML experts data analysts product managers and people leaders. Our Distinguished Engineers are leading experts in their domains helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels helping optimize business outcomes while driving towards strong technology solutions. At Capital One we believe diversity of thought strengthens our ability to influence collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech mentoring internal talent and actively recruiting to keep building our community. Staff Software Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies platforms and capability domains creating clear and concise communications code samples blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area but your input and impact will be sought and expected throughout the organization. In this role you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Staff Software Engineer community to drive architectural excellence establish AI-native engineering standards and deliver the next generation of liquidity management predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams come join us in our mission to change banking for good. Key responsibilities Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics such as performance scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously balancing your time to maximize impact Act as a role model and mentor within the tech community helping to coach and strengthen the technical expertise and know-how of our engineering and product community Lead proof-of-concept development for emerging AI frameworks and architectural patterns Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide Champion AIOps practices — driving platform reliability through AI-assisted anomaly detection automated remediation and predictive alerting across the portfolio Basic Qualifications Bachelor’s Degree At least 7 years of experience in the following + Software engineering and solution architecture + Enterprise architecture and design patterns + Designing and building distributed HPC and ML systems + Full ML development lifecycle using AI and ML frameworks + Cloud computing (AWS Microsoft Azure Google Cloud) + Data engineering Preferred Qualifications Bachelor's or Master's in Computer Science Applied Mathematics or a related technical field 10+ years of experience in one or more of software engineering and solution architecture enterprise architecture and design patterns distributed HPC and ML systems ML development lifecycle cloud computing or data architecture 10+ years of hands-on coding in commonly used languages Python Java Go Scala JavaScript/TypeScript or similar you are a working engineer not a former engineer 8+ years owning the full SDLC conception through architecture implementation testing deployment and production support you have been paged and you have fixed it Demonstrated AI-native engineering practice across all three layers + Daily use of AI coding assistants to accelerate productivity utilizing capabilities well beyond basic code completion + Spec/intent driven development + AI embedded in CI/CD and SDLC tooling — test generation spec validation code review augmentation + Production experience building LLM-backed or agentic systems — prompt engineering evaluation frameworks observability and guardrails included Experience working directly with quantitative analysts or data scientists — model development lifecycles feature pipelines backtesting ML deployment and the rigor to validate what a model is actually doing Capital One is open to hiring a Remote Employee for this opportunity. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location) $244700 - $279200 for Distinguished Engineer Cambridge MA $269100 - $307200 for Distinguished Engineer McLean VA $269100 - $307200 for Distinguished Engineer New York NY $293600 - $335100 for Distinguished Engineer Richmond VA $244700 - $279200 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City’s Fair Chance Act Philadelphia’s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process please send an email to Careers@capitalone.com Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Technical Recruiter (Remote)

Role Technical Recruiter (Remote) Location Remote (Work from Anywhere) Job Type Full-Time Payout $160K - $300K/yr Role Overview This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing screening and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities • Design implement and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency. • Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. • Integrate Zara with applicant tracking systems HR databases and third-party job platforms via APIs. • Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. • Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications • Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch. • Strong background in natural language processing including experience with libraries such as spaCy or Hugging Face. • Experience building and deploying scalable AI systems in production environments. • Familiarity with cloud platforms (AWS GCP or Azure) and containerization tools like Docker. • Knowledge of SQL and NoSQL databases for data extraction and integration. • Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. • Experience with RESTful APIs and microservices architecture. • Background in data pipeline development and ETL processes. More About the Opportunity This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Principal Consultant, Proactive Services, Unit 42

Mexico City, Mexico

"Our Mission At Palo Alto Networks® we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact solving real-world problems with cutting-edge technology and bold thinking. Here everyone has a voice and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are you’re in the right place. Who We Are In order to be the cybersecurity partner of choice we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values Disruption Collaboration Execution Integrity and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest we invite you to join us! This role is remote but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems stay close to our customers and grow together. You will be part of a culture that values trust accountability and shared success where your work truly matters. Job Summary As a Principal Consultant in our Zero Trust Advisory practice you will lead complex client-facing engagements translating advanced Zero Trust theory into resilient real-world security architectures. You will serve as a senior technical and strategic advisor for our most sophisticated clients shaping their security posture and driving high-value transformation. This role is pivotal in delivering elite advisory services while also scaling Unit 42's market-leading Zero Trust practice. Key Responsibilities Lead Zero Trust transformations and turning complex security challenges into resilient architectures for enterprise clients. Run security engagements that include Managing risk assessments audits policy development and incident response tabletop exercises. Act as a Trusted Advisor by translating business risks into actionable security plans for C-suite executives and technical teams. Use knowledge of threat actors MITRE ATT&CK and AI security to improve client defenses. Build Zero Trust roadmaps across Identity (IAM) network endpoint and cloud domains. Identify vulnerabilities and audit enterprise architectures to find ""hidden trust"" zones and visibility gaps design ""least-privilege"" controls. Perform security assessments across AWS Azure and GCP. Ensure SASE Identity and XDR tools work together as one automated system. Guide clients using NIST CSF ISO CIS and CISA frameworks. Oversee project scoping budgets and risk mitigation for multiple simultaneous engagements. Drive growth of practice by identifying new opportunities growing existing client relationships drafting Statements of Work (SOWs) and responding to RFPs. Create intellectual property speak at industry events and mentor junior team members. Qualifications Bachelor’s Degree in a relevant field or equivalent professional experience. Must speak English and Portuguese Spanish a plus 6+ years of experience leading cybersecurity advisory risk management or professional services engagements for enterprise clients. Demonstrated expertise in designing end-to-end security architectures aligned with frameworks like NIST SP 800-207 and the CISA ZT Maturity Model. Extensive experience performing information security and risk assessments based upon industry-accepted standards (e.g. NIST CSF CIS 18 ISO 27001). Hands-on experience with the implementation and administration of common GRC tools and technologies. Demonstrated track record in strengthening existing and developing new client relationships. Experience communicating complex technical concepts to both executive and engineering audiences. Expertise and deep knowledge in complex SOC and MSSP environments Preferred Qualifications Proven track record of strengthening client relationships and contributing to business growth through pre-sales and solution positioning. Experience architecting security solutions in hybrid and multi-cloud environments (AWS Azure GCP). Conduct comprehensive security assessments of AI systems and tools using frameworks such as + MITRE ATLAS for adversarial tactics and techniques. + OWASP Top 10 for LLMs to identify vulnerabilities in AI/ML models. + NIST AI Risk Management Framework (AI RMF) for risk analysis and mitigation. Operational Technology cybersecurity expertise and experience with Palo Alto Networks technologies including Prisma Access NGFW and Cortex XDR. Our Commitment We’re trailblazers that dream big take risks and challenge cybersecurity’s status quo. It’s simple we can’t accomplish our mission without diverse teams innovating together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position."

Big Data Architect

Chapel Hill, NC

Bright Vision Technologies is a technology consulting and software development company delivering cloud AI data and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Big Data Architect Location 100% Remote (U.S.) Position Type Full-time Direct W2 Salary Range $100000–$150000 Annually Experience Required 6+ years Sponsorship U.S. Citizens Green Card Holders EAD Holders and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake Databricks BigQuery Redshift Spark Kafka lakehouse architectures and cloud platforms with experience building scalable secure and high-performance data solutions. Key Responsibilities Design and lead enterprise data platform architecture and data pipelines Build scalable lakehouse warehouse and streaming solutions Define data modeling governance security and architecture standards Optimize platform performance scalability reliability and cost Collaborate with data engineering analytics ML and business teams Mentor engineers and drive data platform best practices Required Qualifications 8+ years of experience in data engineering including architecture roles Strong expertise in Snowflake Databricks BigQuery Redshift Spark Kafka and cloud platforms Experience with data modeling lakehouse architectures governance and streaming technologies Preferred Qualifications Experience with data mesh dbt LookML or semantic layers Cloud certifications (Snowflake Databricks AWS Azure or GCP) and experience in regulated environments How to Apply Would you like to know more about this opportunity? For immediate consideration please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race color religion sex sexual orientation gender identity or expression national origin age genetic information disability veteran status or any other protected status as defined by applicable federal state or local laws. This commitment extends to all aspects of employment including recruitment hiring training compensation promotion transfer leaves of absence termination layoffs and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR EOHDa85iNn

100% Remote- Senior Agentic AI & Chatbot Engineer

Capitole is one of the best IT consulting companies and the place you want to be. Why? 🤝 People in the center. We believe in a different model more human with the employee in the center of our company 👨 💻 Interesting projects. Cutting-edge technologies. Agile methologies 😁 Happiness and low turnover rate 🎓 €1200 per year training budget ⌚ Flexible working hours 🌏 More than 900 skilled professionals from more than 27 nationalities 🎯 Tailored career path 📆 Monthly follow-ups. 360º continuous evaluation 🩺 Private health insurance 💰 Flexible retribution program 🏋️ ♂️ Wellhub access to fitness wellness and mental health support 📄 Processing of the work permit for you to come to Spain with your family 📢 Technological communities 🥳 Lots of amazing events Interested in joining us? Take a look at this opportunity 👇 We are looking for an experienced Senior AI Engineer - Chatbots & Voicebots ( 100%Remote -(Only Spanish Residents) to lead the technical evolution of our conversational AI ecosystem for an international project🌍- English C1! In this role you will architect cutting-edge agentic solutions partner with global stakeholders and drive the adoption of Next-Gen AI platforms integrated seamlessly into our enterprise landscape. Qualifications & Requirements Experience 5+ years of hands-on experience in a Senior Chatbot Developer or equivalent conversational AI role. Cloud Platforms Proven experience working with Azure and GCP cloud environments . Next-Gen AI Expertise Direct experience building solutions with Agentic AI Agent2Agent architectures and the Google ADK . LLMs & Generative AI Solid working knowledge and hands-on experience with Large Language Models (LLMs) and Generative AI frameworks. Conversational AI Domain Prior experience building and deploying both chatbots and voicebots is highly favorable. English C1 / Spanish C1 (Mandatory)! Key Responsibilities Strategy & Architecture Alignment Partner with Enterprise Architecture and IT to develop and guide a conversational AI platform strategy tailored to organizational needs. Pipeline & Opportunity Development Collaborate with global business stakeholders to identify evaluate and develop a robust pipeline of conversational AI opportunities. Proof of Concepts (POCs) Execute successful POCs and pilots to demonstrate technology capability platform fit and strategic value. Integration & Governance Drive technical product integration within the Mercedes-Benz landscape ensuring strict adherence to enterprise security operational standards SecOps and corporate AI principles. Vendor & Quality Management Manage technology and delivery vendors while maintaining rigorous Quality Assurance and technical governance. Product Owner Collaboration Maintain close communication and agile collaboration with the Product Owner (PO) to align delivery with strategic business goals. Platform Adoption & Innovation Promote internal adoption of new platforms and continuously review emerging AI technologies (such as LLMs) to evaluate their potential to strengthen business cases. Want to know more? Click here 🖱️ and find out! See what people say about us 🕵️ ♀️ Glassdoor Reviews Feel free to send us your profile we are excited to meet you! 💙 The employee will adhere to information security policies -Will have access to confidential information related to Capitole and the project they are working on. -Must comply with the security policies and internal policies of the company and the client. -Must sign an NDA.