Director of Enterprise AI

Posted: 2026-10-28

About Boomi and What Makes Us Special

Are you ready to work at a fast-growing company where you can make a difference? Boomi, the data activation company for AI, powers the agentic enterprise by bringing data to life across the business. The award-winning Boomi Enterprise Platform is the active data foundation that delivers essential agentic infrastructure enabling organizations to drive agentic transformation and harness the power of AI with secure, scalable connectivity. Trusted by over 30,000 customers and supported by a network of 800+ partners, Boomi helps organisations of all sizes achieve agility, efficiency, and innovation at scale. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.

Director of Enterprise AI

Reports to: Vice President, Enterprise AI

Boomi is becoming an AI-first enterprise, and this role leads both halves of that shift: the enterprise AI strategy and the data foundation that grounds it. As Director, Enterprise AI, you will be responsible for leading the team that agentifies the enterprise. You will also build the knowledge graph, semantic layer, retrieval, and trust layer every agent depends on. You will report directly to the VP of Enterprise AI.

Enterprise AI strategy and transformation

- Develop and implement the AI strategy and blueprint that turns Boomi into an AI-first enterprise.

- Lead AI adoption across internal business operations, aligned with the corporate vision.

- Run quarterly planning with the VP of AI and business teams, and translate the AI and agent roadmap into agent, data, and platform investments.

Agentic AI and AI solutions

- Drive AI solutions that improve front- and back-office processes, decision-making, and customer experiences, using LLMs, RAG, machine learning, NLP, and computer vision.

- Set the architecture and roadmap for autonomous and multi-agent systems: planning, tool use, memory, orchestration, and integration with enterprise APIs, and workflows.