Senior Staff Machine Learning Engineer leading technical architecture for GEICO's AI Agent Platform. Driving innovation and enhancing productivity for internal associates and customers.
About the role
- 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.
Responsibilities
- Architect scalable multi-tenant backend systems for AI agent workflows
- Build an enterprise AI agent skill ecosystem
- Implement an internal skill marketplace with search/discovery, quality scoring, security vetting pipelines, and approval workflows
- Implement production-grade AI agent harnesses
- Design feedforward guides and feedback sensors
- Build and optimize context engineering systems
- Develop observability frameworks with LLM-specific telemetry
- Design layered guardrail architectures
Requirements
- Bachelor's in CS, Engineering, or related field; advanced degree highly desirable
- 6+ years designing, implementing, and maintaining multi-tenant AI/ML systems in production
- 6+ years with cloud platforms (Azure, AWS) and backend systems (Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4j)
- Deep understanding of Docker, Prometheus, and OpenTelemetry
- Deep proficiency in Python, Java, or Go
- Extra credit for effectively leveraging AI coding tools (Cursor, Claude Code, GitHub Copilot)
- Proficiency in AI/ML and agentic frameworks (TensorFlow, PyTorch, LangGraph, CrewAI, AutoGen)
Benefits
- 401K savings plan vested from day one with a 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Mental healthcare and fertility and adoption assistance
- Workplace flexibility with GEICO Flex program for remote work
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