Director, Machine Learning Engineering
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
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.