GenAI-Driven Databricks Forward Deployed Engineer

Deloitte France; Austin (TX); On-site; USD 91,000 - 175,000; Full time

Job summary

Deloitte GPS team seeks a Databricks Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions with client teams in the United States. You will embed with clients, translate business needs into AI-powered solutions, and lead sessions to drive outcomes.

You'll build production-quality AI code, develop scalable patterns, and mentor junior staff while collaborating with cross-functional leaders in a hybrid delivery model.

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 experience with Lakeflow Connect, Agent Bricks, and Databricks Apps.
• 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 and CI/CD DevOps in Databricks.
• Ability to travel 50%, on average.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred.
• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or ML/data science background feature engineering, experimentation, or model evaluation.
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
• Experience operating within hybrid onshore/offshore teams.
• Familiarity with security, privacy, and compliance considerations.
• Familiarity with security, privacy, and compliance considerations in regulated enterprise environments.
• The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $175,100.

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.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Skills

Software engineering

Data engineering

Data science

Analytics engineering

GenAI/LLM experience

Project leadership

CI/CD DevOps

Security clearance

MLOps/LLMOps

LLM integration

Security/compliance

Education

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

Tools

Databricks

Lakeflow Connect

Agent Bricks

Databricks Apps

AWS

Azure

Google Cloud

Spark

Airflow

dbt

Job description

Deloitte GPS team seeks a Databricks Forward Deployed Engineer to prototype and deliver GenAI-enabled solutions with client teams in the United States. You will embed with clients, translate business needs into AI-powered solutions, and lead sessions to drive outcomes.

You'll build production-quality AI code, develop scalable patterns, and mentor junior staff while collaborating with cross-functional leaders in a hybrid delivery model.