Sr Staff Engineer - Applied Ai

GEICO

United States
Base: $130,000.00 - $260,000.00; bonus/equity: not...
Generative ai or llm-based systems in production
Python and modern ai frameworks
Production rag systems
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level

Job Summary

  • Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level.
  • Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale.
  • Actively mentor and sponsor mid-level engineers, set technical standards for AI/ML engineering excellence, and drive adoption of best practices across the organization.

Matching Summary

Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level.

Salary

Base: $130,000.00 - $260,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive Total Rewards program, 401K savings plan with 6% match, tuition assistance, mental healthcare, fertility and adoption assistance, workplace flexibility up to four weeks per year

Skills & Requirements

Must-have

  • Generative AI or LLM-based systems in production
  • Python and modern AI frameworks
  • Production RAG systems
  • Production AI systems
  • Agent architectures and workflow orchestration
  • Distributed systems and microservices architecture

Nice-to-have

  • Domain-tuned LLMs
  • Knowledge graph design and ontology development
  • Insurance or financial services experience
  • AI safety practices and evaluation frameworks
  • MLOps platforms
  • Contributions to open-source projects

Key Requirements

  • 8 or more years of professional software engineering or applied machine learning experience
  • 2 or more years working with Generative AI or LLM-based systems in production
  • Proven track record of architecting and delivering complex AI/ML capabilities
  • Strong expertise in distributed systems
  • Proven ability to influence technical direction across multiple teams
  • Track record of mentoring engineers at various levels

Work Rights

Not specified

Tailored Resume

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