AI Engineer – Forward Deployed Engineering (AI FDE)
Join Databricks as an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted advisor to customers.
Posted by employer 5 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 14 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: seniority, visa sponsorship.
Joblaze summary
The AI Engineer in the Forward Deployed Engineering team at Databricks focuses on developing and implementing innovative GenAI solutions tailored to customer needs. Key skills include experience with tools like HuggingFace and LangChain, as well as a strong background in machine learning and data science. This role is ideal for professionals with a graduate degree in a quantitative field and a passion for collaboration and customer engagement. The team emphasizes cross-functional collaboration, influencing product direction while serving as trusted advisors to clients.
Joblaze insights
- Listed about 4 months ago — first seen on Joblaze June 2, 2026. Last confirmed on Databricks's careers page October 27, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 12% of 137 comparable ai/ml roles in United States that list PyTorch we track (median $200,000 across 50 companies).
- PyTorch appears in 14.6% of 1787 comparable ai/ml roles in United States; DSPy appears in 0.1% of 1787 comparable ai/ml roles in United States.
Quick facts
- Is the AI Engineer – Forward Deployed Engineering (AI FDE) role remote?
- Yes — Databricks lists this as a fully remote position.
- What's the salary range?
- Databricks lists $152,900–$210,155 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this AI Engineer – Forward Deployed Engineering (AI FDE) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, DSPy, Databricks Intelligence Platform, GCP.
- Is this full-time or contract?
- Full-time for this AI Engineer – Forward Deployed Engineering (AI FDE) role at Databricks.
From the original posting
AI Engineer – Forward Deployed Engineering (AI FDE) (ALL LEVELS)
CSQ327R177
Mission
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. Open to remote locations.
This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.
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
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