Databricks: AI Engineer – Forward Deployed Engineering (AI FDE) — United States

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists AI Engineer – Forward Deployed Engineering (AI FDE) in United States, under reference 8546367002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Professional Services Operations
• Employer listing date: 13 May 2026

Responsibilities and work described

• Development: 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
• Collaboration: cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Essential requirements and candidate background

• 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
• 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
• Local Pay Range
• $182,000 — $250,208 USD

Preferred experience and additional strengths

• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: United States

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Engineer – Forward Deployed Engineering (AI FDE) vacancy is not an offer for reference 8546367002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8546367002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• Spark
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• machine learning
• AI
• compliance
• training