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Director, Machine Learning Engineering

GEICO · Seattle, WA · 2 wk ago
On-siteEngineering$150k–$300k/yrFull-time

Overview

We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This role sits at the intersection of AI/ML, platform engineering, and product strategy, responsible for building scalable systems that leverage context, memory, and retrieval to deliver differentiated, real-time intelligence.

Key Responsibilities

  • Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures

  • Translate business and customer needs into scalable, AI-powered personalization strategies

  • Partner with executive stakeholders to align runtime intelligence investments with enterprise priorities

  • Lead development of core runtime capabilities: Context orchestration and state management, Memory systems (short-term and long-term), Retrieval systems (RAG, knowledge integration), Personalization frameworks

  • Drive design and implementation of high-scale, low-latency systems ensuring systems are secure, observable, and reliable in production environments

  • Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost)

  • Define KPIs and metrics to evaluate system performance and business impact

  • Lead continuous optimization of runtime performance, cost, and response quality

  • Implement feedback loops for model and system improvement

  • Oversee end-to-end delivery of runtime intelligence platforms, ensuring scalability and reliability

  • Drive cross-functional execution across engineering, data science, and product teams

  • Manage prioritization, trade-offs, and execution in a complex, fast-paced environment

  • Build, lead, and scale high-performing teams across engineering, ML, and platform functions

  • Develop talent strategy, including hiring, coaching, and organizational design

  • Foster a culture of innovation, accountability, and continuous improvement

  • Lead through senior managers and technical leaders to deliver outcomes at scale

  • Partner with Product, Design, Data, and Infrastructure teams to deliver integrated solutions

  • Influence senior stakeholders and drive alignment across competing priorities

  • Communicate complex technical concepts clearly to executive and non-technical audiences

Qualifications

  • 10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience

  • Proven track record building and scaling distributed systems, AI platforms, or personalization systems

  • Deep expertise in areas such as: Retrieval-Augmented Generation (RAG), Context and memory architectures, Real-time inference systems

  • Strong business acumen with the ability to translate strategy into execution

  • Demonstrated success leading large, complex, cross-functional initiatives

Preferred Experience

  • With LLMs, generative AI, and agent-based systems

  • Background in observability, experimentation frameworks, or system optimization

  • Experience operating in high-scale, customer-facing environments

Core Competencies

  • Strategic Thinking & Vision

  • AI/ML & Platform Leadership

  • Operational Excellence & Execution

  • Cross-Functional Influence

  • Talent Development & Leadership

  • Data-Driven Decision Making

Pay

Annual Salary $150,000.00 - $300,000.00

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