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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Machine Learning Engineering - **Company:** GEICO - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Program Optimization, Decision Support Systems, Distributed Systems, Machine Learning, Large Language Models, Generative AI, AI Platforms, Low Latency - **Published:** June 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b26a293c9883ef86 ## About the Role Do you have experience in Technical engineering?, Required * 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 ## Description We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms. 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., Strategy & Vision * 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 * Act as a thought leader in shaping next-generation personalization and AI-driven experiences Platform & Capability Ownership * 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 * Ensure systems are secure, observable, and reliable in production environments Observability & Optimization * 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 Execution & Delivery * 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 Leadership & Team Development * 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 Cross-Functional Collaboration * 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 ## Related Videos - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Inside Mercedes-Benz: 140 Years of Heritage meet AI](https://www.wearedevelopers.com/videos/100054-inside-mercedes-benz-140-years-of-heritage-meet-ai) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [Got AI ideas but no money? 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