Director, AI Foundations Engineering (2 Openings)

This role drives the engineering strategy, delivery, and operational excellence for the organization’s agentic AI operating system, spanning solution architecture, development, operations, and continuous improvement. The Director, AI Foundations Engineer will enable the transformation of existing processes, products, and services into agentic AI products and intelligent workflows by providing a scalable, secure, and high-performing foundation. This position can be based remotely anywhere in the U.S. and involves travel as defined by the Hiring Manager. There are 2 positions available.

About The Role

This role is central to enabling agentic AI products and workflows through a disciplined engineering approach, systems thinking, and technical vision. The ideal candidate will guide the design and evolution of core agentic capabilities, establish engineering standards, and lead cross-functional teams to deliver resilient and extensible AI services.

Responsibilities

• Lead the design, development, and ongoing improvement of the organization's AI foundations to 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.

Requirements

• Bachelor’s degree required; advanced degree preferred, ideally in business, engineering, computer science, data science, or a related field.
• 8+ 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 with technical teams.
• Strong cross-functional leadership skills, with proven ability to collaborate across Engineering, Innovation, Design, Data Science, Commercial, and other business teams.
• Experience managing and developing product managers or junior product leaders, including coaching and prioritization support.
• Excellent strategic, analytical, and communication skills, with the ability to evaluate opportunities, make informed trade-offs, and clearly communicate product vision.

Pay

The salary for this position is expected to range between $194,600 and $361,400 per year, determined based on relevant skills and experience. Upon joining, salary will be reviewed periodically. Compensation includes a performance-based cash incentive and eligibility for annual equity awards.

Benefits

• Comprehensive health, life, and disability benefits.
• 401(k) with company contribution and match.
• Generous time off package, including vacation, personal days, holidays, and other leaves.