Joblaze summary

In this role, the AI Engineer on the Forward Deployed Engineering team at Databricks focuses on developing and deploying 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 position is ideal for seasoned professionals who excel in customer-facing roles and have a passion for collaboration and continuous learning. The team emphasizes a collective approach, valuing diverse specializations to enhance overall performance.

Joblaze insights

Listed about 5 months ago — first seen on Joblaze June 4, 2026. Last confirmed on Databricks's careers page November 3, 2026.

Quick facts

How much experience is required?: At least 5 years of relevant experience for this AI Engineer - FDE (Forward Deployed Engineer) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, DSPy, Databricks Intelligence Platform, GCP.
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) role at Databricks.

From the original posting

CSQ427R171

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.

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:

7+ years of 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)
Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal).

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

AI Engineer - FDE (Forward Deployed Engineer)

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