Senior Staff Machine Learning Engineer, AI Agent Platform

Why Join GEICO? 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 on relentless innovation to exceed our customers' expectations

while making a real impact on local communities nationwide. Founded in 1936,

GEICO is a member of the Berkshire Hathaway family of companies and one of the

largest auto insurers in the United States. 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.

Sr. Staff Machine Learning Engineer – AI Agent Platform Position Description

GEICO is seeking an exceptional Sr. Staff ML Engineer to join our AI

organization. You will serve as a technical leader and key architect for GEICO's

virtual assistant platform that elevates productivity for 30K+ internal

associates and the customer experience for millions of policyholders. Sr. Staff

AI Agent Platform Engineers set the technical vision and drive the architecture

of multi-tenant services that power the building, testing, deployment, and

hosting of LLM-based AI agents. This includes multi-agent orchestration,

standardized interoperability protocols (MCP, A2A), AI agent skill ecosystems

with marketplace and governance capabilities, production-grade harness & context

engineering, and guardrail frameworks for safe autonomous operation at

enterprise scale.

Responsibilities

• Technical Vision & Architecture: Define the
• long-term technical strategy for GEICO's AI agent platform — including
• multi-agent orchestration, AI agent lifecycle management, evaluation frameworks,
• skill registries and marketplace, and workflow orchestration. AI Agent Skills &
• Marketplace: Architect an enterprise skill ecosystem — reusable capability
• packages that encode domain expertise and workflows into portable, discoverable
• modules. Build and govern an internal skill marketplace with versioning,
• security vetting, approval workflows, progressive disclosure loading, and usage
• analytics. Harness & Context Engineering: Lead design of production-grade AI
• agent harnesses (tool dispatch, context management, error recovery, session
• state, fine-grained Authn/AuthZ) that makes AI agents reliable for long-running
• workflows. Apply feedforward guides (linters, architecture constraints,
• spec-driven validation) and feedback sensors (test execution, LLM-as-judge)
• mixing computational and inferential controls. Design context engineering
• systems that treat the LLM context window as a managed resource — memory
• hierarchies, RAG pipelines, context compaction, scratchpads, and dynamic
• skill/tool loading. Platform & Interoperability: Own high-performance platform
• components powering end-to-end agentic workflows: MCP server/registry
• management, A2A communication infrastructure, prompt management, workflow
• orchestration, guardrail enforcement, and observability pipelines. AI Safety &
• Governance: Establish AI agent governance frameworks including bounded autonomy,
• human-in-the-loop escalation, audit trails, prompt guardrails, and RBAC/ABAC
• access controls. Extend governance to skill-level security — vetting published
• skills for hidden payloads, injection vectors, and data exfiltration risks.
• Leadership: Collaborate cross-functionally with data scientists, engineers,
• product managers, and designers. Mentor engineers at all levels. Elevate AI
• engineering best practices — including harness engineering patterns and agentic
• coding tools — across the company. Basic Qualifications 8+ years of professional
• software development experience with at least two languages (Java, C++, Python,
• Go, or C#). 6+ years designing and building AI/ML platforms using
• open-source/cloud-agnostic components (Elasticsearch, Qdrant, Kafka, PostgreSQL,
• MongoDB, Spark, Ray, Temporal, Redis, Neo4j, etc.). 5+ years managing end-to-end
• SDLCs (CI/CD, Kubernetes, testing, monitoring, production support). 4+ years
• building training, fine-tuning, and inferencing systems for LLMs, especially on
• GPU infrastructure. 3+ years designing and operating multi-agent or agentic AI
• systems in production. Strong understanding of context engineering — memory
• architectures, RAG, context compaction, and dynamic information management for
• LLMs. Demonstrated track record leading technical initiatives, setting
• architectural direction, and mentoring across teams. Bachelor's degree in CS,
• Engineering, or related field; advanced degree highly desirable. Preferred

Qualifications

• 6+ years with cloud providers (Azure, AWS), including container
• orchestration and GPU compute. 3+ years building agentic workflows with
• open-source and proprietary LLMs (Llama, Qwen, Claude, Gpt, etc.). Hands-on
• experience with MCP and A2A protocols — MCP server development, AI agent card
• discovery, task delegation patterns. Experience with harness engineering. (tool
• dispatch, error recovery, session state, sub-agent coordination, planning &
• reasoning) Experience designing AI agent skill systems: building and governing
• reusable skill packages, skill marketplaces with discovery, versioning, security
• vetting, and progressive disclosure. Experience with context engineering at
• scale: memory hierarchies, RAG optimization, compaction/summarization, state
• isolation, etc. Experience with multi-agent orchestration frameworks (LangGraph,
• AutoGen, CrewAI). Experience with LLM observability & evaluation platforms
• (LangSmith, Arize Phoenix, Langfuse). Experience building guardrail systems
• (prompt injection defense, PII detection, skill-level security auditing).
• Understanding of AI safety, model governance, and regulatory compliance in
• regulated industries. If you are passionate about pushing the boundaries of
• generative AI platforms, thrive in a hands-on technical leadership role, and
• enjoy solving complex, large-scale problems, we encourage you to apply! Annual
• Salary $130,000.00 - $300,000.00 The above annual salary range is a general
• guideline. Multiple factors are taken into consideration to arrive at the final
• hourly rate/ annual salary to be offered to the selected candidate. Factors
• include, but are not limited to, the scope and responsibilities of the role, the
• selected candidate’s work experience, education and training, the work location
• as well as market and business considerations. GEICO will consider sponsoring a
• new qualified applicant for employment authorization for this position. The
• GEICO Pledge: Great Company: Protecting customers through life’s twists and
• turns with innovation and integrity. Great Careers: Personalized development
• programs, mentorship, and certification assistance. Great Culture: Inclusive and
• collaborative culture rooted in shared success. Great Rewards: Competitive pay,
• benefits, and flexibility to support your well-being and future. The equal
• employment opportunity policy of the GEICO Companies provides for a fair and
• equal employment opportunity for all associates and job applicants regardless of
• race, color, religious creed, national origin, ancestry, age, gender, pregnancy,
• sexual orientation, gender identity, marital status, familial status, disability
• or genetic information, in compliance with applicable federal, state and local
• law. GEICO hires and promotes individuals solely on the basis of their
• qualifications for the job to be filled. GEICO reasonably accommodates qualified
• individuals with disabilities to enable them to receive equal employment
• opportunity and/or perform the essential functions of the job, unless the
• accommodation would impose an undue hardship to the Company. This applies to all
• applicants and associates. GEICO also provides a work environment in which each
• associate is able to be productive and work to the best of their ability. We do
• not condone or tolerate an atmosphere of intimidation or harassment. We expect
• and require the cooperation of all associates in maintaining an atmosphere free
• from discrimination and harassment with mutual respect by and for all associates
• and applicants. 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 on relentless innovation to exceed our customers' expectations
• while making a real impact on local communities nationwide. Founded in 1936,
• GEICO is a member of the Berkshire Hathaway family of companies and one of the
• largest auto insurers in the United States. Opportunities for Students & Grads
• Learn more about GEICO Benefits