Distinguished Engineer

GEICO is seeking a Distinguished Engineer (AI Platforms) to join our AI organization. This individual will serve as one of the most senior technical authorities driving the architecture, evolution, and long-term technical strategy of GEICO's Generative AI and virtual agent platforms. This platform directly supports productivity and service quality for 20K+ contact center employees across claims, service, and sales.

In this role, you will operate with enterprise-wide technical influence, shaping foundational AI platform capabilities that enable large-scale, production-grade GenAI and agentic workflows across GEICO. You will work closely with senior engineers, architects, product leaders, and executives to define and evolve durable, scalable, and extensible AI systems that underpin multiple lines of business.

The ideal candidate brings a proven track record of designing and architecting complex, multi-system AI/ML platforms at scale, deep hands-on expertise, and a strong passion for Generative AI technologies in real-world production environments.

Key Responsibilities

Enterprise Architecture & Technical Authority

• Define, own, and evolve the foundational architecture for GEICO's Generative AI and agentic workflow platforms.

• Serve as a final technical authority on complex architectural decisions impacting multiple products, teams, and business domains.

• Design interconnected, high-performance, and durable platform components that power end-to-end GenAI workflows, including:

• Knowledge curation and management

• Search and retrieval systems

• Prompt and context management

• Workflow orchestration and action execution

• Semantic and knowledge graph systems

Platform & GenAI Applications Strategy, Architecture, and Business Impact

• Establish and drive multi-year technical strategy and roadmaps for both AI platform capabilities and Generative AI (GenAI) applications in close partnership with product and business leaders.

• Balance speed, scalability, reliability, and extensibility while ensuring platforms and GenAI applications can support future AI use cases, evolving business needs, and organizational growth.

• Influence investment decisions by evaluating build vs. buy tradeoffs and architectural choices for both the underlying platform and GenAI applications.

• Define the reference architecture and best practices for GenAI application development, deployment, and integration, ensuring alignment with overall enterprise architecture.

• Collaborate with business stakeholders to identify high-impact GenAI application opportunities and develop strategies to maximize business value and measurable outcomes.

• Continuously assess and communicate the business impact of GenAI applications, providing clear metrics and feedback loops to inform ongoing strategy and platform evolution.

System & Technology Evaluation

• Lead evaluation and selection of core technologies, frameworks, and infrastructure components with a emphasis on building and scaling Generative AI applications, including LLM orchestration(e.g., LangChain, LlamaIndex), agentic workflows, RAG systems, and evaluation/observability tooling, while partnering on underling AI platform infrastructure and services to support production readiness.

• Ensure architectural consistency and technical rigor across open-source, cloud-agnostic, and managed service integrations.

Cross-Organization Influence

• Collaborate across engineering, data science, ML, product, and design organizations to align on platform and GenAI application direction, technical standards, and business objectives.

• Drive alignment across teams by translating complex technical and business concepts into clear architectural guidance and decision frameworks.

• Partner with senior technical and business leaders across departments to promote enterprise-wide adoption of GenAI best practices and maximize organizational impact.

Technical Leadership & Problem Solving

• Tackle the most complex and ambiguous technical and business challenges affecting system-wide and application-specific performance, reliability, and scalability.

• Lead deep technical reviews, architectural assessments, and design discussions for critical AI and GenAI application initiatives.

• Guide platform and GenAI application evolution through hands-on engagement when necessary, especially in high-impact or high-risk areas.

Mentorship & Technical Stewardship

• Mentor senior engineers and technical leads, setting a high bar for architectural thinking, engineering quality, and technical decision-making for both platform and GenAI application initiatives.

• Establish and reinforce best practices for platform and GenAI application design, reliability, observability, and operational excellence.

• Contribute to internal documentation, architectural standards, and technical knowledge sharing for both the AI platform and GenAI applications.

Minimum Qualifications

• Master's degree or higher in Computer Science, Engineering, Statistics, or a related field.

• 10+ years of professional software engineering experience, with deep expertise in large-scale distributed systems.

• Extensive experience architecting and building multi-component AI/ML platforms using technologies such as:

• Search and retrieval systems (e.g., Elasticsearch, Qdrant, Milvus, Pinecone,Weaviate)

• Data platforms (e.g., Snowflake, relational and NoSQL databases, and feature stores)

• Streaming and distributed processing (e.g., Kafka, Spark, Ray)

• Workflow orchestration (e.g., Airflow, Temporal, Prefect)

• LLM orchestration and application frameworks ( e.g., LangChain, Llamaindex)

• Observability, evaluation, and tracing for GenAI systems (e.g., LangSmith, Arize Phoenix, Weights & Biases, OpenTelemetry)

• Vector databases, embedding pipelines, and retrieval-augmented generation (RAG) architectures

• Agentic frameworks and multi-agent systems for complex task execution

• Strong background in full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations.

• Deep experience with major cloud platforms such as AWS and Azure.

• Demonstrated hands-on experience building production systems using LLMs and Generative AI technologies (e.g., GPT, Llama, Mistral, Claude) to power conversational and agentic workflows.

Annual Salary
$210,000.00 - $350,000.00
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.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.