AI ML Engineer at global networking leader, shaping ML strategy and building high - performance systems. Innovating with AI technology to enhance network management and develop flagship products.
About the role
- Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
Responsibilities
- Define the long-term technical strategy for GEICO's AI agent platform — including multi-agent orchestration, AI agent lifecycle management, evaluation frameworks, skill registries and marketplace, and workflow orchestration.
- Architect an enterprise skill ecosystem — reusable capability packages that encode domain expertise and workflows into portable, discoverable modules.
- Lead design of production-grade AI agent harnesses (tool dispatch, context management, error recovery, session state, fine-grained Authn/AuthZ) that makes AI agents reliable for long-running workflows.
- Own high-performance platform components powering end-to-end agentic workflows: MCP server/registry management, A2A communication infrastructure, prompt management, workflow orchestration, guardrail enforcement, and observability pipelines.
- Establish AI agent governance frameworks including bounded autonomy, human-in-the-loop escalation, audit trails, prompt guardrails, and RBAC/ABAC access controls.
- Collaborate cross-functionally with data scientists, engineers, product managers, and designers. Mentor engineers at all levels. Elevate AI engineering best practices — including harness engineering patterns and agentic coding tools — across the company.
Requirements
- 8+ years of professional software development experience with at least two languages (Java, C++, Python, Go, or C#).
- 6+ years designing and building AI/ML platforms using open-source/cloud-agnostic components (Elasticsearch, Qdrant, Kafka, PostgreSQL, MongoDB, Spark, Ray, Temporal, Redis, Neo4j, etc.).
- 5+ years managing end-to-end SDLCs (CI/CD, Kubernetes, testing, monitoring, production support).
- 4+ years building training, fine-tuning, and inferencing systems for LLMs, especially on GPU infrastructure.
- 3+ years designing and operating multi-agent or agentic AI systems in production.
- Strong understanding of context engineering — memory architectures, RAG, context compaction, and dynamic information management for LLMs.
- Demonstrated track record leading technical initiatives, setting architectural direction, and mentoring across teams.
- Bachelor's degree in CS, Engineering, or related field; advanced degree highly desirable.
Benefits
- 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.
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Staff Machine Learning Engineer developing the next generation of AI Agent OS and SDKs for GEICO. Key responsibilities include architecting scalable systems and implementing observability frameworks.
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