Director, AI Foundations Engineering (2 Openings)

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The Director, AI Foundations Engineer will drive the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system, with responsibility spanning solution architecture, development, operations, and continuous improvement. This role will be central to enabling the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high performing foundation. The ideal candidate will bring deep engineering leadership, systems thinking, and technical vision to guide the design and evolution of core agentic capabilities, establish engineering standards and operating models, and lead cross functional teams in delivering resilient and extensible AI services. Working closely with product leaders, business stakeholders, data and technology teams, and transformation leaders, this role will ensure the agentic systems accelerate innovation, support enterprise adoption, and delivers measurable business value through reliable and scalable execution.

This position can be based remotely anywhere in the U.S. Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager.

There are 2 positions available.

Key Responsibilities

Lead the design and development and ongoing improvement of the organization's AI foundations that will enable use cases through a disciplined engineering approach

Define and implement an agentic AI foundational system, engineering standards, and development practices that promote scalability, reliability, repeatability, and continuous improvement

Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs and strategic priorities.

Oversee engineering teams in building reusable platform services, tools, and components that enable agentic AI products and workflows.

Drive modernization and integration efforts to connect existing systems and processes with AI capabilities.

Monitor agentic operations and user feedback to identify improvements, resolve issues, and support continuous optimization.

Establish effective operating models, support processes, and governance practices to ensure consistent delivery of AI capabilities

Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders and cross functional stakeholders.

Essential Requirements

Bachelor degree required and advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.

8 plus years of AI engineering experience, with a strong track record of leading product strategy, roadmap development, and delivery for complex digital, data, or AI enabled products.

Demonstrated experience in AI and data driven product environments, including translating business needs into scalable product solutions and partnering closely with technical teams to bring innovative products to market.

Strong cross functional leadership skills, with proven ability to collaborate effectively across Engineering, Innovation, Design, Data Science, Commercial, and other business teams to drive alignment and execution.

Experience managing and developing product managers or junior product leaders, including coaching, prioritization support, and fostering strong product management practices.