Senior Forward Deployed Engineer, Microsoft AI&Data

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

Job summary

Deloitte Minnesota is seeking a Senior Microsoft AI & Data Forward Deployed Engineer to rapidly prototype and deliver GenAI-powered solutions for enterprise clients, collaborating with senior functional and technical teams to translate business needs into tangible outcomes.

You will build production-quality AI solutions, mentor peers, contribute to demos and proposals, and help ensure successful long-term client engagements through strong engineering practices and platform enablement.

Qualifications

• Bachelor's degree in Computer Science, Data Science or Engineering.
• 5+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years building GenAI/LLM-powered solutions in client or production environments.
• 1+ years of experience with Microsoft AI & Data including Azure AI Foundry.
• 1+ years of experience leading project workstreams and translating business problems into AI solutions.
• 1+ years of experience building reliable, maintainable, and well documented code.
• Ability to travel 50% on average depending on client engagement.
• Limited immigration sponsorship may be available.

Responsibilities

• Embed with clients to identify business needs and translate GenAI use cases into solutions.
• Lead sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Mentor newer team members and support long-term client engagement success.
• Develop demos/POCs, contribute to proposals and client oral presentations.
• Deliver scalable production-quality code with documentation and testing practices.

Skills

GenAI/LLM solutions

Client engagement

Lead projects

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure AI Foundry

Spark

Airflow

dbt

MLOps

APIs/microservices

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 10/30/2026.

Work you'll do

As a Senior Microsoft AI&Data 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 Microsoft AI&Data including hands on experience with Azure AI Foundry.

• 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

• 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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.