Senior AI Platform & Enablement Specialist

As Senior AI Platform and Enablement Specialist, you'll be the go-to authority on how our data community adopts and maximizes Databricks, across both generative AI and traditional ML. You'll set standards, build guidance, and cultivate a thriving community of data scientists equipped to apply modern practices. Rather than owning specific project deliverables, your impact is measured in the maturity, consistency, and velocity of AI and data practice across all business units.

The core responsibilities for the job include the following:

Platform evangelism and community:

• Champion Databricks capabilities (Agent Bricks, Genie Spaces, Unity Catalog, Feature Store) across all data science teams.
• Organize and deliver internal community trainings and hands-on workshops.
• Build and nurture a community of practice around AI/ML, acting as a credible technical reference.
• Present at internal tech forums and represent the platform vision to senior leadership.

Standards and frameworks:

• Define group-wide guidelines for when and how to apply generative AI vs. traditional ML approaches.
• Establish MLOps and AI Ops standards covering model lifecycle, monitoring, governance, and deployment patterns.
• Create decision frameworks to help teams choose the right tools and architectures for their use cases.
• Drive adoption of responsible AI principles and data governance best practices.

Documentation and blueprints:

• Produce high-quality technical blueprints, reference architectures, and step-by-step implementation guides.
• Write opinionated best-practice guides that balance technical rigor with practical usability.
• Translate complex platform updates into accessible, well-structured internal communications.

Platform feedback loop:

• Collect pain points and adoption blockers from teams and feed them back to platform owners.
• Evaluate new features and GenAI tooling, producing adoption recommendations.
• Act as a bridge between the platform team and the data science community.

Requirements:

• 6+ years of experience in data science, ML engineering, or AI platform roles.
• Demonstrated hands-on expertise with Databricks in a production environment.
• Proven track record of driving technology adoption at scale; enablement experience is a strong plus.
• Experience defining MLOps or AI Ops practices across multiple teams or business units.

Communication and influence:

• Exceptional ability to explain complex technical concepts to both technical and non-technical audiences.
• Confident and engaging presenter and trainer, able to inspire, not just instruct.

Leadership and collaboration:

• Comfortable operating as a senior individual contributor and internal thought leader.
• Highly collaborative, builds trust with data scientists, engineers, and business stakeholders alike.
• This is a non-people-management, group-wide role, ideal for someone wanting to grow as an AI reference within an enterprise environment.