Senior GenAI & Data Solutions Engineer

Deloitte France

San Francisco (CA)

On-site

USD 156,000 - 307,000

Full time

14 days+
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Job summary

Deloitte is seeking a Senior Microsoft AI&Data Forward Deployed Engineer in San Francisco to rapidly prototype and deliver GenAI-enabled solutions. You will collaborate with client teams, shape solutions, and drive measurable business impact from day one.

The role requires 5+ years in software/data/engineering, hands-on GenAI/LLM experience, and strong Azure AI Foundry skills, with travel ~50% and opportunities for mentorship within an FDE pod.

Qualifications

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 5+ years of software/data/analytics engineering experience.
  • 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 leading project workstreams and translating problems into AI solutions.
  • 1+ years of writing reliable, well-documented code.
  • Ability to travel ~50% depending on client engagements.
  • Limited immigration sponsorship may be available.

Responsibilities

  • Embed with clients to identify needs and translate GenAI use cases into solutions.
  • Partner with leaders, architects, and engineers to align priorities.
  • Lead sessions to shape solutions and drive outcomes.
  • Prototype and deliver GenAI solutions with industry expertise.
  • Mentor newer FDEs and share reusable components.

Skills

GenAI/LLM experience
Microsoft Azure AI
Stakeholder engagement

Education

Bachelor's degree in Computer Science / Data Science / Engineering

Tools

Azure AI Foundry
AWS, Azure, GCP

Job description

Deloitte is seeking a Senior Microsoft AI&Data Forward Deployed Engineer in San Francisco to rapidly prototype and deliver GenAI-enabled solutions. You will collaborate with client teams, shape solutions, and drive measurable business impact from day one.

The role requires 5+ years in software/data/engineering, hands-on GenAI/LLM experience, and strong Azure AI Foundry skills, with travel ~50% and opportunities for mentorship within an FDE pod.

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