Senior Forward Deployed Engineer - Databricks

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 platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.


* 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 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 infrastructure.

These solutions are powered by engineering for business advantage, transforming mission-critical operations.

We enable clients to stay ahead with ...