Distinguished Machine Learning Engineer

Senior GEICO Distinguished Engineer (AI Platforms) leads enterprise-wide architecture and technical authority for Generative AI and virtual agent platforms, enabling production-grade GenAI workflows for more than 20,000 contact center employees.

Responsibilities

• Own and advance the foundational architecture for GEICO's Generative AI and agentic workflow platforms.
• Act as the final technical authority on complex architectural decisions affecting multiple products, teams, and business domains.
• Design interconnected, high-performance, durable platform components powering end-to-end GenAI workflows.
• Oversee knowledge curation and management.
• Oversee search and retrieval systems.
• Handle prompt and context management.
• Oversee workflow orchestration and action execution.
• Manage semantic and knowledge-graph systems.
• Establish and drive multi-year technical strategy and roadmaps for AI platform capabilities and GenAI applications in close partnership with product and business leaders.
• Balance speed, scalability, reliability, and extensibility to support future AI use cases, evolving business needs, and organizational growth.
• Influence investment decisions by evaluating build versus buy tradeoffs and architectural choices for the platform and GenAI applications.
• Define reference architecture and best practices for GenAI development, deployment, and integration in alignment with enterprise architecture.
• Collaborate with stakeholders to identify high-impact GenAI opportunities and develop strategies to maximize business value and measurable outcomes.
• Continuously assess and communicate the business impact of GenAI applications with metrics and feedback loops to inform strategy and platform evolution.
• Lead evaluation and selection of core technologies, frameworks, and infrastructure for building and scaling GenAI applications, including LLM orchestration (LangChain, LlamaIndex), agentic workflows, RAG systems, and observability tooling, while partnering on underlying AI platform infrastructure for production readiness.
• Collaborate across engineering, data science, ML, product, and design to align platform and GenAI direction, standards, and business objectives.
• Translate complex technical and business concepts into clear architectural guidance to align teams.
• Partner with senior leaders to promote enterprise-wide adoption of GenAI best practices and maximize organizational impact.
• Address 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 initiatives.
• Provide hands-on guidance to evolve platforms and GenAI applications, especially in high-impact or high-risk areas.
• Mentor senior engineers and technical leads, raising the bar for architectural thinking, engineering quality, and decision-making for platform and GenAI initiatives.
• Establish and reinforce best practices for platform and GenAI design, reliability, observability, and operational excellence.
• Contribute to internal documentation, architectural standards, and knowledge sharing for the AI platform and GenAI applications.

Requirements

• 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 (Elasticsearch, Qdrant, Milvus, Pinecone, Weaviate)
  • Data platforms (Snowflake, relational and NoSQL databases, and feature stores)
  • Streaming and distributed processing (Kafka, Spark, Ray)
  • Workflow orchestration (Airflow, Temporal, Prefect)
  • LLM orchestration and application frameworks (LangChain, LlamaIndex)
  • Observability, evaluation, and tracing for GenAI systems (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
  • Full software development lifecycle ownership, including CI/CD, Kubernetes, monitoring, and production operations
  • Major cloud platforms such as AWS and Azure
  • Hands-on production systems using LLMs and Generative AI technologies (GPT, Llama, Mistral, Claude) to power conversational and agentic workflows
• Demonstrated ability to own and operate complex, scalable GenAI programs from concept to production.

Technologies

• Elasticsearch
• Qdrant
• Milvus
• Pinecone
• Weaviate
• Snowflake
• Relational databases
• NoSQL databases
• Feature stores
• Kafka
• Spark
• Ray
• Airflow
• Temporal
• Prefect
• LangChain
• LlamaIndex
• LangSmith
• Arize Phoenix
• Weights & Biases
• OpenTelemetry
• Kubernetes
• AWS
• Azure
• GPT
• Llama
• Mistral
• Claude

Benefits

• Great Company
• Great Culture
• Great Rewards
• Great Careers
• Competitive pay
• Benefits
• Flexibility to support your well-being and future

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.

Annual Salary

USD 210,000.00 - USD 350,000.00 per year