AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
Join Databricks as a Sr. AI Engineer to develop cutting-edge GenAI solutions for U.S. Federal clients in a hybrid work environment.
Posted by employer 2 weeks ago
First seen on Joblaze 2 weeks ago
Last verified on the company career page 12 hours ago
Skills & Technologies
AI in the day-to-day
We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Senior AI Engineer on the Forward Deployed Engineering team at Databricks focuses on developing and deploying innovative GenAI applications to meet client needs. Key skills include expertise in machine learning frameworks and cloud platforms, as well as experience in building production-grade AI solutions. This position is ideal for seasoned professionals with a strong background in data science and a passion for customer collaboration. The team emphasizes a collaborative approach, integrating diverse specializations to enhance overall performance.
Joblaze insights
- Listed 15 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 922 other open roles including Lead Learning Product Manager, Senior Scale Solution Engineer, Scale Solution Engineer.
- 2757 active AWS roles on Joblaze right now.
- 1371 active GCP roles on Joblaze right now.
- 1209 active Azure roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$188,000).
- Pays more than 64% of the 1371 salaried AWS roles we track (median $170,000). See AWS salary trends
Quick facts
- Is the AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector role remote?
- It's hybrid — Databricks expects some on-site time in Maryland; Virginia; Washington, D.C..
- What's the salary range?
- Databricks lists $182,000–$250,208 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector role.
- Where is the role based?
- Databricks is hiring for this position in Maryland; Virginia; Washington, D.C..
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, DSPy, GCP, GenAI, HuggingFace.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector role at Databricks.
From the original posting
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., 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.
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. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. 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.
The impact you will have:
- 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
What we look for:
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- 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.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- 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)
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here.
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
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.
Compliance
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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.