Senior Staff Engineering Manager - Applied AI
Chevy Chase, Montgomery County, Maryland, 20815, USA
Listed on 2026-01-12
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Senior Staff Engineering Manager – Applied AI
Join to apply for the Senior Staff Engineering Manager – Applied AI role at GEICO
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This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr – $/yr
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
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.
- 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).
- 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‑teaming, evaluation frameworks.
- Insurance/claims, fraud, or contact center AI experience at scale.
$150,000 – $300,000
Benefits- Comprehensive Total Rewards program that offers personalized coverage tailored for you and your family.
- Financial benefits including market‑competitive compensation, 401K savings plan with 6% match, performance and recognition‑based incentives, and tuition assistance.
- Access to additional benefits like mental healthcare, fertility and adoption assistance.
- Flexible work options, including the GEICO Flex program allowing up to four weeks per year working from anywhere in the US.
GEICO is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability, or protected veteran status.
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