US E - GPS Consulting Services - Databricks Forward Deployed Engineer - AI&E/AI&D - SC - (AC/JE) FY27

Qualifications

• Required:
• Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
• 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 2+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
• 2+ years of experience with Databricks including hands on experience with one of the following key platform technologies; Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps
• 2+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
• 2+ 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
• Preferred:
• 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.