Distinguished Engineer, Applied AI

GEICO GEICO · Insurance · Palo Alto, CA

Distinguished Engineer to lead the CRM AI team, driving technical direction, architecture, and execution of an AI-powered CRM roadmap using LLM models and Agentic AI. Focus on building an AI-powered system of intelligence and action for customer communication touchpoints, ensuring high availability and operational excellence.

What you'd actually do

  1. Lead architectural decisions for Agent Workspace, Knowledge Management, Customer Insights platform, and core CRM AI capabilities
  2. Define and implement multi-region active-active infrastructure to achieve 99.99% availability, removing single-region failure exposure
  3. Establish engineering standards and operational excellence practices for observability, auto-failover, self-healing systems, and SLA management
  4. Mentor Staff and Senior Engineers, elevating technical capabilities across AI/ML, distributed systems, and operational excellence while establishing engineering standards for the organization
  5. Drive incident response and blameless post-mortems, turning outages into systemic improvements

Skills

Required

  • Advanced programming experience with at least two modern languages such as Java, C++, Python, or C# including object-oriented design
  • Proficient with AI/ML stack and libraries; experience in shipping applied AI products including LLM-based systems, agentic frameworks, or conversational AI
  • Proven understanding of micro-services oriented architecture and extensible REST APIs
  • Experience building architecture and design (design patterns, reliability, scalability) of new and current systems
  • Experience designing and operating highly available systems (99.9%+ uptime) with multi-region deployments and operational automation
  • Experience with continuous delivery and infrastructure as code
  • Strong problem-solving ability
  • Ability to excel in a fast-paced, startup-like environment
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • In-depth knowledge of CS data structures and algorithms
  • Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
  • Experience partnering with engineering teams and transferring research to production

Nice to have

  • Track record of technical thought leadership through publications, blogs, open-source contributions, or patents
  • Experience with Salesforce or enterprise CRM platforms

What the JD emphasized

  • AI-powered CRM platform
  • Agentic AI
  • LLM models
  • 99.99% availability
  • multi-region active-active infrastructure
  • enterprise-grade resilience

Other signals

  • AI-powered CRM platform
  • LLM models and Agentic AI
  • system of intelligence and action
  • enterprise-grade resilience
  • 99.99% availability