Senior Databricks Forward Deployed Engineer - Gps

Senior Databricks Forward Deployed Engineer for Deloitte's Government & Public Services practice, focusing on building and deploying GenAI-enabled solutions and agentic platforms for clients. Requires strong software engineering, Databricks experience, and ability to translate business needs into AI solutions.

What you'd actually do

  1. Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  2. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  3. Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  4. Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  5. Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

Skills

Required

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering
  • 5+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 5+ years of experience with Databricks including hands on experience with one of the following key platform technologies; Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 5+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 3+ years of experience building reliable, maintainable, and well-documented code and CI/CD DevOps in Databricks
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Nice to have

  • Active US government security clearance
  • Professional Databricks certifications are 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

What the JD emphasized

  • 5+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 5+ years of experience with Databricks including hands on experience with one of the following key platform technologies; Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a US government security clearance

Other signals

  • building working software
  • GenAI-enabled solutions
  • agentic platforms
  • production-quality code