GenAI Solutions Engineer – Microsoft AI & Data

Deloitte France; San Francisco (CA); On-site; USD 135,000 - 265,000; Full time

Job summary

Deloitte seeks a Microsoft AI & Data Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions for enterprise clients. You will work with senior client teams to translate business problems into AI solutions, embed with clients, and contribute reusable assets within a pod-based delivery model.

Role emphasizes hands-on GenAI/LLM work, Azure AI Foundry experience, and collaboration across engineering, product, and client teams.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
• 3+ 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 you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• 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.
• 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.

Skills

GenAI/LLMOps

Client engagement

Project leadership

Maintainable code

Travel readiness

Education

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

Tools

Spark

Airflow

dbt

Azure AI Foundry

AWS / Azure / Google Cloud

Job description

Deloitte seeks a Microsoft AI & Data Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions for enterprise clients. You will work with senior client teams to translate business problems into AI solutions, embed with clients, and contribute reusable assets within a pod-based delivery model.

Role emphasizes hands-on GenAI/LLM work, Azure AI Foundry experience, and collaboration across engineering, product, and client teams.