Senior Staff Engineering Manager - Applied AI

GEICO • Austin, TX

2d • $150,000 - $300,000

About The Position

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. The Government Employees Insurance Company (GEICO) is a private American auto insurance company with headquarters in Chevy Chase, Maryland. GEICO is a wholly owned subsidiary of Berkshire Hathaway and is the third largest auto insurer in the United States. In 2024, GEICO earned premiums worth over $43 billion U.S. dollars. GEICO is in the midst of an exciting transformation as a product and tech powered company. We are looking to recruit Senior Engineering Manager to lead a newly formed Applied AI & ML engineering team. As the founding manager, you’ll lead 7–10 engineers to ship production-grade AI capabilities for the claims domain, shape the roadmap with product, and partner closely with AI Platform teams to leverage shared model, data, safety, and tooling capabilities. What you’ll do Partner with product, data science, and AI Platform teams to define and deliver an Applied AI roadmap for claims tied to measurable business outcomes. Lead end-to-end delivery of AI features in the claims domain (e.g., claims triage/routing, adjuster assistance, subrogation/recovery opportunities, workload optimization). Establish robust MLOps/LLMOps (model/prompt/version management, evaluation, feature/vector stores, CI/CD for ML, online/batch inference, cost/performance tuning). Rapidly prototype using AI-assisted development tools (e.g., Cursor, Claude Code) to validate concepts and accelerate delivery. Ensure reliability, security, and Responsible AI (privacy-by-design, guardrails, human-in-the-loop, auditability). Drive engineering excellence (clean architecture, scalable APIs, event-driven integration, observability, automated testing, SLOs/runbooks/on-call). Recruit, coach, and grow a high-performing team; champion Agile practices and operational excellence.

Requirements

• 10+ years hands-on software or solutions engineering; recent experience architecting/building production systems.
• 5+ years leading Agile teams delivering customer-impacting products.
• Proven track record shipping AI/ML-enabled features to production with measurable impact.
• Strong cloud experience (AWS or Azure); CI/CD, SDLC, and modern engineering practices.
• Practical MLOps/LLMOps experience (model lifecycle, telemetry, A/B testing, online and batch inference).
• Excellent stakeholder management and communication; Bachelor’s in CS/IS or related field (or equivalent experience).

Nice To Haves

• Experience leveraging frameworks such as Spring AI, LangChain, and Embabel to build AI-enabled applications.
• Java/Python services; Kubernetes/EKS, serverless; Kafka/Kinesis; lakehouse (Delta/Iceberg); vector DBs; feature stores; model registries (MLflow/SageMaker/Databricks); orchestration (Airflow/Ray); observability (OpenTelemetry/Prometheus).
• LLM-specific tooling: RAG, prompt engineering, safety/guardrails, red-teaming, evaluation frameworks.
• Insurance/claims, fraud, or contact center AI experience at scale.

Responsibilities

• Partner with product, data science, and AI Platform teams to define and deliver an Applied AI roadmap for claims tied to measurable business outcomes.
• Lead end-to-end delivery of AI features in the claims domain (e.g., claims triage/routing, adjuster assistance, subrogation/recovery opportunities, workload optimization).
• Establish robust MLOps/LLMOps (model/prompt/version management, evaluation, feature/vector stores, CI/CD for ML, online/batch inference, cost/performance tuning).
• Rapidly prototype using AI-assisted development tools (e.g., Cursor, Claude Code) to validate concepts and accelerate delivery.
• Ensure reliability, security, and Responsible AI (privacy-by-design, guardrails, human-in-the-loop, auditability).
• Drive engineering excellence (clean architecture, scalable APIs, event-driven integration, observability, automated testing, SLOs/runbooks/on-call).
• Recruit, coach, and grow a high-performing team; champion Agile practices and operational excellence.

Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior