AI Engineer – Forward Deployed Engineering

Databricks

. Develop cutting-edge GenAI solutions using the latest Databricks AI research techniques to solve customer problems .

Posted 11/2/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $182,000 - $250,208 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying GenAI applications, leveraging advanced techniques and tools such as HuggingFace and Databricks. Capable of effectively communicating technical concepts to diverse audiences while collaborating with cross-functional teams to drive product innovation.

Highest-signal resume keywords

GenAI Application DevelopmentProduction-Grade Machine Learning DeploymentsHuggingFace ExperienceData Science ExpertiseGraduate Degree in Quantitative Discipline

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI ApplicationsRAGMulti-Agent SystemsText2SQLFine-TuningPandasScikit-LearnPyTorchAWSAzure

Soft Skills

Technical CommunicationCollaborationThought Leadership

Tools & Technologies

Databricks Intelligence PlatformApache SparkDSPy

Industry Keywords

Data ScienceMachine LearningAI ApplicationsProduction RolloutsCustomer Engagement

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformPandasPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

Develop cutting-edge GenAI solutions using the latest Databricks AI research techniques to solve customer problems
Own production rollouts of consumer-facing and internally facing GenAI applications
Serve as a trusted technical advisor to customers across varied domains
Present at conferences such as Data + AI Summit and act as an internal and external thought leader
Collaborate with product and engineering teams to influence priorities and shape the product roadmap
Deliver professional services engagements helping customers build and productionize first-of-the-kind AI applications
Support internal subject matter expert teams and contribute to long-term strategic priorities and initiatives

Requirements

What you’ll need

Experienced engineer; not intended for internship, new graduate, or entry-level applicants
Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning
Experience with HuggingFace, LangChain, and DSPy
Expertise deploying production-grade GenAI applications, including evaluation and optimization
Extensive hands-on industry data science experience
Experience with pandas, scikit-learn, and PyTorch
Experience building production-grade machine learning deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience
Experience communicating and/or teaching technical concepts to technical and non-technical audiences
Preferred: experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
Willingness to travel once every 4–8 weeks to see customers as needed
If access to export-controlled technology or source code is required, employment may depend on a U.S. government license decision

Benefits

Comp & perks

Annual performance bonus eligibility
Equity eligibility
Comprehensive benefits and perks, with details varying by region
Remote work arrangement
Travel to see customers once every 4–8 weeks as needed