| Description | At GEICO we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company we want you to feel valued supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company Great Culture Great Rewards and Great Careers. The Geico AI Agent Platform team is seeking an exceptional Senior Staff Software Engineer to build the next generation enterprise Agent OS and SDKs. This role combines deep technical expertise in platform engineering application design and agentic workflows with strong leadership and mentoring capabilities. You will be responsible for designing implementing and maintaining scalable reliable frontend and backend systems that enable our business product and engineering teams to build test and deploy their own AI agents & workflows. The candidate must have excellent communication skills and a proven track record of delivering business value via technical excellence. KEY REPONSIBILITIES: 1. Platform Engineering: Architect and implement scalable multi-tenant backend systems for building AI agent workflows including agent configuration offline evaluation synthetic data generation workflow simulation agent marketplace etc. using Azure Kubernetes Service (AKS) FastAPI etc. ensuring economy of scale and control cost of maintenance. Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non- technical stakeholders maximizing user adoption and successful AI agent development Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring alerting and incident response procedures Evaluate and (if desirable) integrate cutting-edge GenAI frameworks libraries and vendors to maintain a state-of-the-art technology stack including hybrid cloud solutions with AWS/GCP as backup or specialized use cases Architect and implement scalable high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows. 2. DevOps/Application Lifecycle Management: Oversee the end-to-end lifecycle of AI agent applications ensuring robust testing deployment and ongoing monitoring. Ensure adherence to company production readiness standards security protocols and regulatory compliance throughout the development lifecycle. Continuously optimize platform performance reducing latency and improving throughput for AI agent workloads Design and implement backup recovery and business continuity plans for hosted platform applications & services Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps GitHub Actions and MLOps tools 3. Technical Leadership: Act as the tech lead across multiple sub-teams/initiatives setting technical direction and ensuring consistency in design principles and best practices. Provide hands-on mentorship and guidance during design reviews code assessments and performance tuning. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements. Establish and champion engineering standards for ML infrastructure deployment practices and operational procedures Create technical documentation runbooks and deliver internal training sessions on platform capabilities 4. Cross-Functional Collaboration: Work closely with data scientists software engineers and product teams to seamlessly deploy ML systems into production environments. Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders. Foster a collaborative environment that encourages innovation and the sharing of best practices across teams. Present technical solutions and platform roadmaps to leadership and cross-functional stakeholders QUALIFICATIONS: Technical Skills Bachelor’s degree in computer science Engineering Mathematics or a related field an advanced degree (master’s or Ph.D.) is highly desirable. 10+ years of hands-on experience in designing implementing and maintaining multi-tenant AIML systems and platforms in production environments. 10+ years of experience working with cloud platforms such as Azure and AWS. Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to- end AI Agent and/or AIML system development lifecycles including configuration evaluation monitoring observability and AuthN/AuthR considerations 8+ years of experience working with common backend systems & tools (e.g Kubernetes Temporal OpenSearch PostgreSQL Redis Neo4J etc.). Deep understanding of Docker container optimization and multi- stage builds. Experience with Prometheus Grafana Open Telemetry and distributed tracing 4+ years of experience building front-end web applications using frameworks such as React and/or Next.JS Deep proficiency in programming languages such as Python Java Go etc. with a strong emphasis on coding excellence. Extra credit for properly leveraging AI coding tools such as Cursor for productivity gains Proficiency in AIML frameworks such as TensorFlow PyTorch Langraph etc. Leadership Skills: Demonstrated track record of mentoring engineers and leading technical initiatives Proven ability to tackle complex technical challenges innovate through hands-on experimentation and set technical standards. Excellent verbal and written communication against audience of diverse seniority levels and professional backgrounds Preferred Specialized Skills Understanding of AI safety principles model governance and regulatory compliance Background in regulated industries with understanding of data privacy requirements and cybersecurity review processes Deep expertise operating and/or building AI agent platforms & capabilities like Langsmith/Langraph platform Autogen N8N Crew.ai Dify.ai etc. Experience building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments Experience utilizing both open source (e.g. llama Qwen Mistral) and proprietary (e.g. GPT Claude) LLMs for appropriate tasks If you are passionate about pushing the boundaries of generative ai platforms thrive in a hands-on technical leadership role and enjoy solving complex large-scale problems we encourage you to apply. Location - Remote Annual Salary $115000.00 - $300000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include but are not limited to the scope and responsibilities of the role the selected candidate’s work experience education and training the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation exceeding our customers’ expectations and enabling our collective success. From day one you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives. Great Careers: We offer a career where you can learn grow and thrive through personalized development programs created with your career – and your potential – in mind. You’ll have access to industry leading training certification assistance career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success rooted in integrity a bias for action and a winning mindset. Grounded by our core values we have an an established culture of caring inclusion and belonging that values different perspectives. Our teams are led by dynamic multi-faceted teams led by supportive leaders driven by performance excellence and unified under a shared purpose. As part of our culture we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being. Financial benefits including market-competitive compensation a 401K savings plan vested from day one that offers a 6% match performance and recognition-based incentives and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race color religious creed national origin ancestry age gender pregnancy sexual orientation gender identity marital status familial status disability or genetic information in compliance with applicable federal state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants. |