Senior Forward Deployed Engineer - Databricks

Deloitte France; Minneapolis (MN); On-site; USD 156,000 - 307,000; Full time

Job summary

Deloitte is hiring a Senior Databricks FDE in the United States. You will rapidly prototype and deliver GenAI-enabled solutions, partnering with client teams and senior stakeholders to drive measurable business impact from day one.

Join a pod-based delivery model with a focus on scalable AI platforms, architecture decisions, and reusable assets. Travel ~50% and mentorship of junior FDEs are part of the role.

Qualifications

• 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 and related platform tech (DBRX, MLflow, Vector Search).
• 1+ years leading project workstreams and translating business problems into AI solutions.
• 1+ years writing reliable, maintainable, and well-documented code.
• Ability to travel 50% on average.

Responsibilities

• Embed with clients to identify business needs and translate GenAI use cases into solutions.
• Partner with leaders to align priorities and delivery.
• Lead sessions to shape solutions and drive client outcomes.
• Prototype and deliver GenAI-enabled solutions using industry expertise.
• Mentor newer team members within an FDE pod.
• Coach client teams on platform capabilities and AI enablement.
• Develop demos/POCs and contribute to proposals and knowledge transfer.
• Contribute reusable assets and design/code reviews to uplift the team.

Skills

Software engineering

Data engineering

GenAI/LLM

Project leadership

Clean code

Willingness to travel

Cloud environments

Client engagement

MLOps/LLMOps

API integration

Security/compliance

Education

Bachelor's degree in Computer Science, Data Science or Engineering

Tools

Databricks (DBRX)

MLflow

Vector Search

Spark

Airflow/dbt

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 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 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 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, Vector Search, Databricks AI Gateway
• 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
• 1+ years of experience building reliable, maintainable, and well‑documented code o
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred qualifications

• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast‑paced, ambiguous delivery environments
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event‑driven architectures
• Experience operating within hybrid onshore/offshore teams
• Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.