# Head of AI Forward Deployed Engineering , Public Sector

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Maryland, Virginia, Washington, DC
**Role:** Engineering Management
**Salary:** $233k – $320k/yr
**Experience:** 8+ years
**Skills:** Machine Learning, Generative AI, Data Science, AWS, Azure, GCP, Team Leadership, Professional Services, Executive Stakeholder Management, Cross-Functional Collaboration
**Posted:** 2026-06-12

> Lead and scale the AI Forward Deployed Engineering team for public sector customers, driving AI transformation engagements, building executive relationships, and shaping product and GTM strategy. Requires deep ML/GenAI expertise, proven team leadership, and a graduate degree or equivalent.

## Job Description

## Responsibilities
- Lead and scale a world-class AI FDE team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale
- Develop and expand executive relationships with key customers and partners (including 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 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

## Requirements
- Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating 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, and curiosity to continue to stay up-to-date in this ever-changing field
- Experience leading teams building cutting-edge production AI solutions in cloud environments (AWS, Azure, or GCP)
- Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements
- Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

## Nice-to-Haves
- Experience in a customer-facing consulting or professional services leadership role
- Experience working with Databricks

## Compensation & Benefits
- Total compensation package may include eligibility for annual performance bonus, equity, and benefits
- Local Pay Range: $232,900—$320,200 USD

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