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NEXTMOVEFDE careers · United States
Deloitte US

Forward Deployed Engineer - Databricks

AI summary of the role

Forward Deployed Engineer at Deloitte's AI & Engineering practice, embedded with clients to rapidly prototype and deliver GenAI-enabled solutions on Databricks.

What you’ll do

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

What you’ll bring

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
  • 1+ years of experience with Databricks including hands-on experience with DBRX, MLflow, Vector Search, or Databricks AI Gateway.

Technologies

Databricks · DBRX · MLflow · Vector Search · Databricks AI Gateway · GenAI · LLM · Spark · Airflow · dbt · AWS · Azure

Source and classification

Production engineering · Evidence for this classification:

At Deloitte, Forward Deployed Engineers (FDE) don’t just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you’ll do As a Databricks FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement
More from the job description

At Deloitte, Forward Deployed Engineers (FDE) don’t just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you’ll do As a Databricks FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. Partner with leaders, product owners, architects, and engineers to align priorities and delivery. Lead working sessions to shape solutions and drive client outcomes. Prototype and deliver working AI solutions using industry expertise and emerging capabilities. Contribute independently within an FDE pod while mentoring newer team members. Solution Engineering Build AI-enabled solutions, age [... source excerpt omitted ...] e AI engineering patterns, tool-use approaches, and human-in-the-loop controls. Apply architecture decisions that balance quality, safety, latency, cost, and model risk. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. Design extensible functionality, support sprint sizing, and align solutions with senior team members. Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud in [... source excerpt omitted ...] ble clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of experience with Databricks including hands on experience with one of the following key platform technologies; DBRX, MLflow, V

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