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AI Engineer - Forward Deployed Engineering (AI FDE), U.S. Public Sector (FederalFocus)
Databricks
5 hours ago
Full-time
On-site
Virginia Beach, Virginia, United States
Location & Eligibility
Due to federal contract requirements and client site access obligations, U.S. government secret clearance are required to access classified information. Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
Team The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer‑facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first‑of‑its‑kind AI applications. We work cross‑functionally to shape long‑term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
This role can be remote.
Responsibilities
Develop cutting‑edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
Collaborate cross‑functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Qualifications
Experience building GenAI applications, including RAG, multi‑agent systems, Text2SQL, fine‑tuning, etc., Expertise in deploying production‑grade GenAI applications, including evaluation and optimizations
Extensive years of hands‑on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit‑learn, PyTorch, etc.
Experience building production‑grade machine learning deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) Passion for collaboration, life‑long learning, and driving business value through AI
[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large‑scale distributed datasets
Willing to travel once every 4-8 weeks to see customers (as needed)
Compensation Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Local Pay Range$
About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits and Perks At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
Equal‑Opportunity Statement Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Export‑Controlled Technology If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.
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Team The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer‑facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first‑of‑its‑kind AI applications. We work cross‑functionally to shape long‑term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.
This role can be remote.
Responsibilities
Develop cutting‑edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
Collaborate cross‑functionally with the product and engineering teams to influence priorities and shape the product roadmap.
Qualifications
Experience building GenAI applications, including RAG, multi‑agent systems, Text2SQL, fine‑tuning, etc., Expertise in deploying production‑grade GenAI applications, including evaluation and optimizations
Extensive years of hands‑on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit‑learn, PyTorch, etc.
Experience building production‑grade machine learning deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) Passion for collaboration, life‑long learning, and driving business value through AI
[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large‑scale distributed datasets
Willing to travel once every 4-8 weeks to see customers (as needed)
Compensation Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Local Pay Range$
About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits and Perks At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
Equal‑Opportunity Statement Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Export‑Controlled Technology If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.
#J-18808-Ljbffr