Sr Staff Engineer - Applied Ai

GEICO

Multiple Locations
Base: $130,000.00 - $260,000.00; bonus/equity: not...
Architecting and delivering complex ai/ml capabilities
Python and modern ai frameworks
Production rag systems
GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level

Job Summary

  • GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives that have visibility at the tech VP level.
  • You will provide technical direction and architecture for capabilities spanning multiple teams, working closely with Staff Engineers, engineering leaders, product management, and business stakeholders to design and scale AI-powered solutions.
  • We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.

Matching Summary

GEICO is seeking a Senior Staff Engineer, Applied AI to 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

Skills & Requirements

Must-have

  • architecting and delivering complex AI/ML capabilities
  • Python and modern AI frameworks
  • production RAG systems
  • production AI systems
  • agent architectures, workflow orchestration
  • distributed systems, microservices architecture
  • influence technical direction across multiple teams

Nice-to-have

  • domain-tuned LLMs
  • knowledge graph design
  • insurance or financial services experience
  • AI safety practices
  • 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
  • Proven track record of architecting and delivering complex AI/ML capabilities
  • Deep hands-on expertise with Python and modern AI frameworks
  • Demonstrated experience building and deploying production RAG systems
  • Demonstrated experience designing and operating production AI systems
  • Strong understanding of agent architectures, workflow orchestration, RAG
  • Familiarity with Agent-to-Agent (A2A) communication protocols
  • Experience ensuring platform scalability, cross-domain coherence
  • Strong expertise in distributed systems, microservices architecture
  • Proven ability to influence technical direction across multiple teams
  • Track record of mentoring engineers at various levels
  • Demonstrated ability to translate business needs into scalable technical solutions
  • History of delivering measurable business outcomes from AI systems

Work Rights

Not specified

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