Lead Databricks Forward Deployed Engineer - GPS

Deloitte T.T.L.
Arlington, VA, United States
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Continuous Integration Global Positioning Systems (GPS) Systems Development Life Cycle Software Deployment Large Language Models Information Technology Machine Learning Operations Databricks

Job description

Experteer Overview In this role you lead embedded, forward-deployed engineering pods delivering GenAI solutions to Deloitte’s most strategic clients. You set technical direction, maintain hands-on credibility, and drive production deployments across onshore and hybrid teams. You’ll influence senior client stakeholders and ensure scalable, high-quality outcomes from prototype to production. This is a hands-on leadership role that combines architecture, delivery governance, and cross-functional collaboration to transform client platforms. Compensation / Benefits * Serve as the senior client-facing engineering partner for product, data, and platform initiatives * Lead onshore/offshore pods (2-5 engineers), manage delivery health, risk, and resource allocation * Architect and oversee GenAI solution delivery (LLM apps, copilots, knowledge search) and end-to-end RAG pipelines * Define evaluation metrics, governance, and quality bars; translate trade-offs for executive clients * Mentor junior engineers and enforce consistency in SDLC, CI/CD, and documentation * Coordinate multi-pod engagements to ensure reliable architecture and consistent client experience * Contribute to pipeline development and deal shaping during client pursuits and platform partner engagements Tasks * Bachelor in Computer Science, Data Science or Engineering (or equivalent) * Minimum Secret security clearance * 10+ years in software/data/analytics engineering * 6+ years building and deploying GenAI/LLM-powered solutions in production * 6+ years in Databricks with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years building maintainable code with CI/CD in Databricks * Willingness to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) Key requirements *

Requirements

_ engineers and enforce consistency in SDLC, CI/CD, and documentation * Coordinate multi-pod engagements to ensure reliable architecture and consistent client experience * Contribute to pipeline development and deal shaping during client pursuits and platform partner engagements Tasks * Bachelor in Computer Science, Data Science or Engineering (or equivalent) * Minimum Secret security clearance * 10+ years in software/data/analytics engineering * 6+ years building and deploying GenAI/LLM-powered solutions in production * 6+ years in Databricks with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years building maintainable code with CI/CD in Databricks * Willingness to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) Key requirements *

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on us.experteer.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

3:11 min

The inherent pain of manual software deployment cycles

Steve Upton Steve Upton · WWC 2024

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

Videos

See all

Related articles

See all