Instructure

Instructure

Director, AI Center of Excellence

US-REMOTE · Director · Full-time

Sponsorship not specifiedDetected 21 days ago
Agentic AICommunicationCollaboration

About the role

  • Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
  • And that's where you come in: ABOUT THE ROLE.
  • Set AI COE priorities in collaboration with other departments - Prove the impact.

Responsibilities

  • We do this by giving smart, creative, passionate people opportunities to create awesome.
  • A culture rooted in inclusivity, support, and meaningful connection

Compensation

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

Benefits

  • Flexible work culture.
  • Generous time off, including local holidays and our annual "Dim the Lights" period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

Company info

  • shared infrastructure, governance, a cross-functional roadmap, and a clear, honest read on impact.
  • You'll partner with leaders in every function to turn AI from scattered pilots into a capability that gets sharper every quarter.
  • This role reports to the SVP, Data.
  • Build the foundation. Stand up and run the shared AI infrastructure - integrations, data boundaries, the approved-model registry, and a standard AI stack with single sign-on and data-loss prevention that every function can build on.
  • Set the guardrails. Charter and run the governance council, and put in place the security, privacy, approval, and quality monitoring that let teams move fast without creating risk.
  • Own the roadmap. Set AI COE priorities in collaboration with other departments
  • Prove the impact. Define the standard metrics for cost, throughput, and quality, and report progress through the AI efficiency scorecard.
  • Build capability. Create centralized training libraries and enablement programs along with HR team, and build the place where teams share what works so the whole company benefits.
  • Lead the operating model. Run a centralized-expertise, decentralized-execution model where the Center of Excellence owns the system, functions own the outcomes
  • Build and grow the team. Hire, coach, and develop the Center of Excellence team, including forward-deployed AI engineers, admins etc
  • 12 or more years of experience in technology, data, or product roles, including 5 or more years leading teams, with a track record of delivering measurable operational impact at scale - not just pilots.
  • 2 or more years working directly with AI or machine-learning systems, including hands-on familiarity with modern AI tooling, agentic systems, and large language models.
  • Deep understanding of the infrastructure, data, and security that production AI requires, including model registries, integrations, single sign-on, and data-loss prevention.
  • Strong governance instincts. You know how to set guardrails for security, privacy, and quality that speed teams up rather than slow them down.

This listing is sourced directly from Instructure's careers page and normalized into a canonical job model.