Senior Staff Engineering Manager - Applied AI

Senior Staff Engineering Manager - Applied AI

Join to apply for the Senior Staff Engineering Manager - Applied AI role at GEICO
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The base salary range is $150,000 – $300,000 per year, with actual compensation based on skill and experience. Talk with your recruiter to learn more.

• 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.

• 10+ years of 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).

• Experience leveraging frameworks such as Spring AI, Lang Chain, 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/Sage Maker/Databricks); orchestration (Airflow/Ray); observability (Open Telemetry/Prometheus).
• LLM‑specific tooling: RAG, prompt engineering, safety/guardrails, red‑team testing, evaluation frameworks.
• Insurance/claims, fraud, or contact center AI experience at scale.

Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset.

Great Rewards: We offer compensation and benefits built to enhance your physical well‑being, mental and emotional health and financial future.

We provide a comprehensive Total Rewards program, competitive 401K with 6% match, performance incentives, tuition assistance, mental health care, fertility and adoption assistance, and flexibility via the GEICO Flex program (work from anywhere in the US up to four weeks per year).

GEICO commits to equal employment opportunity for all associates and applicants. We strive for a discrimination‑free workplace and accommodate qualified individuals with disabilities.