# Forward Deployed AI Engineering Leader - EMEA
## Mission
The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help customers build and productionize first-of-its-kind AI applications with a focus on GenAI.
## Role
We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will:
- Lead customers on their AI/ML transformation with Databricks
- Push the boundaries of our product
- Recruit and develop top data scientists and machine learning engineers
- Manage a portfolio of key EMEA accounts
- Report directly to the Head of EMEA AI FDE
## Impact
- Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
- Develop and expand executive relationships with EMEA customers and partners (VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations
- Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions
- Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team
- Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy
- Own OKRs for AI-services led accounts, revenue, utilization, and public references
- Represent Databricks as a thought leader in AI/ML
## Requirements
- Extensive experience managing, hiring, and building a team of high-performing data scientists, ML engineers and leaders
- Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments
- Deep technical expertise in ML, GenAI, and data science
- Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)
- Proven success developing strategy with senior executive stakeholders
- Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams
- "Company-first" mindset
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
## Preferred
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks