GEICO

Senior Staff Machine Learning Engineer, AI Agent Platform

GEICO

full-time

Posted on:

Location Type: Hybrid

Location: New York CityCaliforniaMarylandUnited States

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Salary

💰 $130,000 - $300,000 per year

Job Level

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
JavaC++PythonGoC#AI/ML platformsSDLCcontext engineeringtraining systemsmulti-agent systems
Soft Skills
leadershipmentoringcollaborationcommunicationtechnical initiativearchitectural direction