GenAI Solutions Engineer – Client Delivery

Deloitte France; Stamford (CT); On-site; USD 135,000 - 265,000; Full time

Job summary

Deloitte is seeking a Microsoft AI & Data Forward Deployed Engineer to partner with client teams to rapidly prototype and deliver GenAI-enabled solutions. You will work with senior stakeholders and engineers to create working software and measurable business impact from day one.

You will embed with clients to translate needs into AI use cases, lead sessions with product owners and engineers, build scalable AI patterns, and contribute reusable assets.

Qualifications

• Bachelor's degree in Computer Science, Data Science or Engineering (or equivalent).
• 3+ years of experience in software/data/analytics engineering.
• 1+ years building GenAI/LLM-powered solutions in client/production.
• 1+ years with Microsoft AI & Data, including Azure AI Foundry.
• 1+ years leading project workstreams and translating business problems into AI solutions.

Responsibilities

• Embed with clients to identify business needs and translate GenAI use cases into solutions.
• Partner with leaders, architects, and engineers to align priorities and delivery; drive outcomes.
• Lead sessions to shape solutions and deliver AI outcomes.
• Prototype and deliver AI solutions using industry expertise and emerging capabilities.
• Contribute within an FDE pod and mentor newer team members.
• Build scalable AI engineering patterns and reusable assets (code, prompts, runbooks).

Skills

Software engineering

Data engineering

Data science

Analytics engineering

GenAI/LLM

Azure AI Foundry

Project leadership

Maintainable code

Travel readiness

Education

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

Tools

Azure AI Foundry

Job description

Deloitte is seeking a Microsoft AI & Data Forward Deployed Engineer to partner with client teams to rapidly prototype and deliver GenAI-enabled solutions. You will work with senior stakeholders and engineers to create working software and measurable business impact from day one.

You will embed with clients to translate needs into AI use cases, lead sessions with product owners and engineers, build scalable AI patterns, and contribute reusable assets.