Staff AI Engineer — Applied GenAI & Automation

Government Employees Insurance Company

Bethesda (MD)

On-site

USD 110,000 - 230,000

Full time

14 days+
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Job summary

GEICO is seeking a Staff Engineer, Applied AI to advance Generative AI across the enterprise. You will partner with engineering, data science, and product teams to design, build, and scale AI-powered capabilities that automate workflows and elevate user experiences.

You’ll mentor engineers and help scale agent-based workflows, while delivering production-grade, reliable AI systems at enterprise scale. The role emphasizes collaboration across teams, architecture leadership, and hands-on delivery

Qualifications

  • 8+ years in software engineering or ML, with 2+ years in production Gen AI/LLMs.
  • Experience enhancing internal processes with AI for automation and decision‑making.
  • Strong ability to collaborate across teams and deliver production AI systems.

Responsibilities

  • Identify opportunities to automate processes with AI and agent-based systems.
  • Architect and deploy AI solutions for automation, document intelligence, and decision support.
  • Design AI agents orchestrating tools, APIs, and reasoning steps.
  • Mentor engineers in AI, LLMs, and agent workflows.
  • Drive experimentation and production readiness of AI systems.

Skills

Generative AI
LLMs
Agent-based workflows
Distributed systems
Knowledge graphs
Workflow orchestration
Mentoring engineers
System scalability

Tools

Spring AI
LangChain4j
Embabel
Vector databases

Job description

GEICO is seeking a Staff Engineer, Applied AI to advance Generative AI across the enterprise. You will partner with engineering, data science, and product teams to design, build, and scale AI-powered capabilities that automate workflows and elevate user experiences.

You’ll mentor engineers and help scale agent-based workflows, while delivering production-grade, reliable AI systems at enterprise scale. The role emphasizes collaboration across teams, architecture leadership, and hands-on delivery

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