Staff Engineer - Applied AI
AI summary of the role
GEICO seeks a Staff Engineer, Applied AI to lead the design and deployment of generative AI and agentic systems at enterprise scale.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
- Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
- Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.
- Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
What you’ll bring
- 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
- Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
- Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.
- Strong competency in distributed systems, service design, performance optimization, and reliability engineering.
Technologies
Generative AI · LLMs · agent architectures · retrieval-augmented generation · vector databases · knowledge graphs · Spring AI · LangChain4j · Java
About Geico
Third-largest US auto insurer, selling personal auto and property coverage direct-to-consumer to millions of drivers; a wholly owned Berkshire Hathaway subsidiary.
Acquired · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
production-ready AI systems. You will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation. What You Will Do Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems. Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants. Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale. Build systems and
More from the job description
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands-on individual contributor role for someone with deep technical expertise, strong collaboration skills, and a proven ability to deliver scalable, resilient, production-ready AI systems. You will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation. What You Will Do Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, [... source excerpt omitted ...] entation, and deployment across multiple teams. Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments. Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems. What We Are Looking For (Must Have) 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production. Experience adding intelligence to internal processes and workflows to improve efficiency, automation, and decision-makin [... source excerpt omitted ...] ents, performance optimization, and infrastructure enhancements Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production. Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration. Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts. Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design. A history of delivering measurable business outcomes from AI systems. Strong competency in distributed systems, service de
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