Skip to content
NEXTMOVEFDE careers · United States
Deloitte US

Senior Forward Deployed Engineer - Databricks

AI summary of the role

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

What you’ll do

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions
  • Prototype and deliver working AI solutions and agentic platforms across enterprise AI platforms
  • Lead working sessions, mentor team members, and coach client teams on AI enablement
  • Drive end-to-end sales and delivery support by developing demos/POCs and contributing to proposals

What you’ll bring

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

Technologies

Databricks · DBRX · MLflow · Vector Search · Databricks AI Gateway · GenAI · LLM · Spark · Airflow · dbt · MLOps · LLMOps

Source and classification

Production engineering · Evidence for this classification:

At Deloitte, Senior Forward Deployed Engineers (SFDE) 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 Senior 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:
More from the job description

At Deloitte, Senior Forward Deployed Engineers (SFDE) 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 Senior 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. Coach client teams and end users on pl [... source excerpt omitted ...] cess. Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering 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. Apply architecture decisions that balance quality, safety, latency, cost, and mod [... source excerpt omitted ...] oftware, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable 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. 5+ 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

How jobs are selected

Employer postings · Data from · Sources