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AI Engineer - FDE (Forward Deployed Engineer)

Job Overview

Location

Los Angeles, Nebraska, Netherlands

Job Type

Full-time

Category

Data Scientist

Date Posted

February 24, 2026

Full Job Description

đź“‹ Description

  • • Join the elite AI Forward Deployed Engineering (AI FDE) team at Databricks, a highly specialized, customer-facing unit dedicated to pioneering the next generation of AI applications.
  • • Embark on professional services engagements where you will architect, build, and deploy groundbreaking AI solutions that address complex customer challenges.
  • • Leverage the latest advancements from Databricks' Mosaic AI research, integrating cutting-edge techniques to solve real-world problems for our diverse clientele.
  • • Take ownership of the end-to-end production rollouts of both consumer-facing and internal GenAI applications, ensuring seamless integration and optimal performance.
  • • Act as a trusted technical advisor to a wide array of customers, guiding them through their AI journey and helping them unlock the full potential of data and AI.
  • • Collaborate closely with internal teams, including engineering, product management, and developer relations, to shape long-term strategic priorities and drive innovation.
  • • Contribute to the broader AI ecosystem by presenting at prestigious conferences such as Data + AI Summit, establishing yourself and Databricks as thought leaders in the field.
  • • Influence the future direction of Databricks' AI offerings by providing critical feedback and insights to the product and engineering teams, directly shaping the product roadmap.
  • • Immerse yourself in a dynamic environment that fosters continuous learning and encourages exploration of the latest trends in Generative AI, LLMOps, and machine learning.
  • • Work with a team that values unique specializations, viewing the collective strength as an ensemble where individual expertise amplifies overall team capability.
  • • Develop sophisticated GenAI solutions, incorporating advanced methodologies such as Retrieval Augmented Generation (RAG), multi-agent systems, Text2SQL, and fine-tuning techniques.
  • • Utilize a comprehensive suite of industry-standard tools and frameworks, including HuggingFace, LangChain, and DSPy, to build and deploy state-of-the-art AI models.
  • • Gain deep expertise in deploying production-grade GenAI applications, focusing on rigorous evaluation, performance optimization, and robust monitoring strategies.
  • • Apply extensive hands-on industry data science experience, utilizing essential tools like pandas, scikit-learn, PyTorch, and others to manipulate, analyze, and model data effectively.
  • • Build and deploy production-grade machine learning solutions on leading cloud platforms, including AWS, Azure, and GCP, demonstrating a strong understanding of cloud infrastructure and MLOps best practices.
  • • Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences, fostering understanding and driving adoption.
  • • Embrace a collaborative spirit, a passion for lifelong learning, and a commitment to driving tangible business value through the strategic application of AI.
  • • [Preferred] Gain hands-on experience with the Databricks Data Intelligence Platform and Apache Spark™ for efficient, large-scale distributed data processing.
  • • This role is ideal for individuals who thrive on customer interaction, enjoy tackling challenging technical problems, and are passionate about the rapidly evolving landscape of AI.
  • • You will be instrumental in helping customers harness the power of AI to transform their businesses, driving innovation and competitive advantage.
  • • The opportunity to work on first-of-its-kind AI applications means you'll be at the forefront of technological advancement, pushing the boundaries of what's possible.
  • • Your contributions will directly impact the success of our customers and the strategic direction of Databricks' AI initiatives.
  • • We welcome remote applicants located near our offices in London (UK), Munich (Germany), Paris (France), and Amsterdam (NL), fostering a global and diverse team environment.
  • • This role offers a unique blend of deep technical work, customer engagement, and strategic influence, making it a highly rewarding career path for ambitious AI professionals.
  • • You will be part of a team that is not just building AI, but shaping the future of how businesses leverage artificial intelligence.
  • • The emphasis on unique specializations within the team ensures that you can bring your distinct skills to the forefront while learning from and contributing to a diverse pool of talent.
  • • Your work will directly contribute to Databricks' mission as the data and AI company, empowering thousands of organizations worldwide.
  • • This is a chance to work with technologies that are foundational to modern data and AI, including the Lakehouse, Apache Spark™, Delta Lake, and MLflow.
  • • You will be empowered to experiment, innovate, and deliver solutions that have a significant and measurable impact.
  • • The role demands a proactive approach to problem-solving and a keen ability to anticipate customer needs and industry trends.
  • • We are looking for individuals who are not afraid to challenge the status quo and are driven to find elegant and effective solutions to complex problems.
  • • Your ability to communicate effectively and build strong relationships will be key to your success in this customer-facing role.
  • • The continuous evolution of AI means you will always be learning and growing, staying at the cutting edge of the field.
  • • This is more than just a job; it's an opportunity to be part of a transformative journey in the world of data and artificial intelligence.

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About Databricks Inc.

Databricks provides a unified data and AI platform built on Apache Spark. Its lakehouse architecture combines data lakes and warehouses to enable collaborative analytics, machine learning, and real-time processing at scale. The company offers managed cloud services, Delta Lake storage, MLflow for ML lifecycle, and collaborative notebooks. Founded in 2013 by the creators of Spark, Databricks serves enterprises seeking to unify data engineering, data science, and business analytics on a single platform.

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