Director, Applied AI Architect

Role overview Set the architecture and practical foundations for enterprise AI across research and development, commercial, and corporate functions. This is a strategic and hands-on leadership role focused on finding valuable use cases, guiding implementation choices, and enabling teams to build AI systems safely and effectively.

Responsibilities - Define and maintain AI architecture standards and reusable design patterns across business functions. - Work with teams to discover, assess, and prioritize use cases based on their expected outcomes. - Guide platform selection, system integration, and build-versus-buy decisions in partnership with technical and business stakeholders. - Establish guardrails and repeatable practices that help teams move quickly while managing risk. - Provide technical direction and mentorship to AI engineers and cross-functional partners. - Track AI infrastructure spending and optimize compute and model usage as adoption grows.

Requirements - Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience. - At least eight years of experience in enterprise architecture, AI engineering, or a related technical discipline. - Demonstrated experience building agent-based AI solutions in a regulated environment. - Knowledge of modern AI systems, including large language models, agentic applications, evaluation, retrieval, or enterprise AI workflows. - Strong grounding in cloud infrastructure, networking, enterprise data platforms, and system architecture. - Effective communication and influencing skills, with the ability to work strategically and contribute hands-on. - Willingness and ability to travel approximately 25–40% of the time, including internationally.

Nice to have - A master’s degree in a relevant field. - Experience evaluating emerging AI technologies, frameworks, and platforms.