[Remote] Databricks Genie AI Engineer/Semantic Layer Engineer

Note: The job is a remote job and is open to candidates in USA. Cognizant is hiring a Databricks Genie AI Engineer / Semantic Layer Engineer to build and maintain the semantic foundations and evaluation processes for AI-enabled analytics. The role focuses on improving governed natural-language insights through semantic modeling, Genie configuration, testing, and collaboration with data, platform, and business teams.

Responsibilities

• Design and curate the semantic layer that Databricks Genie relies on: table/column descriptions, synonyms, certified/trusted assets, sample questions, and metric definitions
• Build and maintain Genie Spaces, iterating on data room composition and instructions to improve response accuracy and relevance
• Define and maintain metric views and business logic so natural language queries map correctly to governed KPIs
• Develop evaluation frameworks to test Genie's query accuracy, SQL generation quality, and response correctness against ground-truth business questions
• Build regression test suites so changes to data models or Genie configuration don't silently degrade answer quality
• Analyze failure modes (ambiguous questions, join errors, misinterpreted metrics) and iterate on fixes — via schema improvements, better metadata, or prompt/instruction tuning
• Work with data engineers to ensure upstream data quality and modeling decisions support reliable AI/BI outputs
• Partner with the DevOps/Platform team on deployment, versioning, and monitoring of Genie Spaces and any custom AI services (CI/CD, Unity Catalog governance, observability)
• Translate business stakeholder feedback on AI/BI outputs into concrete improvements to data models, prompts, or configurations

Skills

• Experience working with Databricks, including Databricks SQL, Unity Catalog, and Genie or comparable AI-powered analytics capabilities
• Strong proficiency in SQL and programming languages such as Python and/or Scala
• Experience designing and managing semantic models, metric layers, or business-friendly data abstractions
• Knowledge of data warehousing, dimensional modeling, and analytics best practices
• Experience developing testing and validation frameworks for analytics, reporting, or AI-driven solutions
• Understanding of large language models (LLMs), generative AI applications, prompt engineering, retrieval-augmented generation (RAG), or related AI technologies
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
• Strong analytical, problem-solving, and stakeholder management skills
• Ability to work effectively across cross-functional teams in a fast-paced environment

Benefits

• Remote position open to qualified applicants in the United States
• Various wellbeing programs
• Discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Company Overview

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