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Senior Staff Engineering Manager - Applied AI

Geico

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Location:
United States , Chevy Chase

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Contract Type:
Not provided

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Salary:

140000.00 - 300000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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 have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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