Senior GenAI & Data Solutions Lead for Enterprise AI

Deloitte France; Jacksonville (FL); On-site; USD 189,000 - 373,000; Full time

Job summary

Deloitte is seeking a Lead Microsoft AI & Data FDE in Jacksonville to lead on-site pods delivering GenAI solutions for strategic clients, setting technical direction, and removing delivery blockers while staying hands-on.

The role combines client engagement, cross-functional pod leadership, and engineering foundations, requiring 7+ years in software/data engineering and hands-on experience with Azure AI Foundry and GenAI deployments.

Qualifications

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

Responsibilities

• Serve as the senior client-facing presence, building trusted advisor relationships with client product, data, and platform leaders.
• Lead executive-level discovery, define success metrics and a phased plan from prototype to production and scaling.
• Navigate organizational complexity and align sponsors, IT leadership, and business owners around a shared vision.
• Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements.

Skills

Software engineering

Leadership

Client engagement

Hands-on technical

Travel readiness

Education

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

Tools

Azure AI Foundry

Spark

Airflow

dbt

Job description

Deloitte is seeking a Lead Microsoft AI & Data FDE in Jacksonville to lead on-site pods delivering GenAI solutions for strategic clients, setting technical direction, and removing delivery blockers while staying hands-on.

The role combines client engagement, cross-functional pod leadership, and engineering foundations, requiring 7+ years in software/data engineering and hands-on experience with Azure AI Foundry and GenAI deployments.