Staff Machine Learning Engineer, AI Agent Platform

GEICO

Remote

Quick summary

Work type
Remote
Location
New York, NY · Palo Alto, CA · Bethesda, MD · Seattle, WA
Salary
$115,000–$260,000 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $188k
$98k most similar roles pay here $277k

This role pays less than 72% of similar roles. Most pay $183,268–$246,150 — the shaded band above. At the midpoint, this role pays about $188k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 136 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 136 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Staff Machine Learning Engineer, AI Agent Platform

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Join the GEICO AI Agent Platform team as a Staff Machine Learning Engineer and help build the next generation of enterprise AI Agent OS and SDKs by designing scalable backend systems for multi-tenant AI agent workflows using AKS, FastAPI, and other tools. You will create an internal skill marketplace with search/discovery features and governance controls while implementing production-grade harnesses that ensure reliable long-running tasks. Additionally, you’ll develop observability frameworks tailored to LLM-specific telemetry and contribute to the design of layered guardrail architectures for AI safety and governance. This role requires deep proficiency in Python or similar languages, experience with cloud platforms like Azure and AWS, and a track record of technical leadership and mentoring. Ideal candidates will have hands-on experience with MCP, A2A, and multi-agent orchestration systems, pushing the boundaries of agentic AI technology at scale.

Skills

Python Java Go Azure AWS Kubernetes Docker Prometheus OpenTelemetry TensorFlow PyTorch LangGraph CrewAI AutoGen PostgreSQL Redis Neo4j FastAPI MCP A2A LLM LangSmith Langfuse ArizePhoenix

What you'll do

  • Design scalable multi-tenant backend systems for AI agent workflows.
  • Build an enterprise skill ecosystem with search/discovery and security vetting pipelines.
  • Implement production-grade AI agent harnesses ensuring reliability for long-running tasks.
  • Develop context engineering systems to manage memory hierarchies and minimize token waste.
  • Establish layered guardrail architectures for input validation, prompt injection defense, and PII detection.

What we're looking for

  • 6+ years of experience designing and maintaining multi-tenant AI/ML systems in production.
  • Deep expertise with cloud platforms (Azure, AWS) and backend technologies like Kubernetes, Temporal, PostgreSQL.
  • Proficiency in Python, Java, or Go, plus knowledge of TensorFlow, PyTorch, LangGraph, CrewAI.
  • Proven ability to mentor engineers and lead technical initiatives effectively.
  • Experience designing AI agent skill systems with discovery, versioning, security vetting, and governance controls.

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