Databricks GenAI Forward-Deployed Engineer

Deloitte France; San Diego (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

Deloitte France is seeking a Databricks Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions for clients, leveraging Databricks features and enterprise AI platforms.

You will work with client teams, mentor others, and help design scalable AI patterns, building production-quality code with CI/CD practices across hybrid environments, while balancing safety, latency, and cost considerations.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
• Active US government security clearance (minimum Secret level).
• 2+ 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 Databricks including hands-on with Lakeflow Connect, Agent Bricks, and Databricks Apps.

Responsibilities

• Embed with clients to identify business needs and translate GenAI use cases into solutions.
• Partner with leaders to align priorities and delivery.
• Lead working sessions to shape solutions and drive outcomes.
• Prototype and deliver AI solutions using industry expertise.
• Mentor newer team members within an FDE pod.

Skills

Independent work

Team collaboration

Communication skills

Project leadership

Multi-tasking

Mentoring

Education

Bachelor's degree in CS/Data Science/Engineering

Tools

Databricks

Databricks Lakeflow

Databricks Agent Bricks

CI/CD DevOps

Job description

Deloitte France is seeking a Databricks Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions for clients, leveraging Databricks features and enterprise AI platforms.

You will work with client teams, mentor others, and help design scalable AI patterns, building production-quality code with CI/CD practices across hybrid environments, while balancing safety, latency, and cost considerations.