Databricks Genie AI Engineer/Semantic Layer Engineer at Cognizant

Job description

Databricks Genie AI Engineer / Semantic Layer Engineer About the Role Cognizant is seeking a Databricks Genie AI Engineer with expertise in semantic modeling, AI-driven analytics, and business intelligence solutions. In this role, you will help shape the data foundation that powers natural language interactions, ensuring business users can access trusted insights through governed, accurate, and scalable AI-enabled analytics experiences. In This Role, You Will · 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. • Exposure to LLM-based or generative AI systems, prompt evaluation, or RAG architectures. • 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. • Strong scripting/programming skills in Python and/or Scala; comfortable with SQL. • Working knowledge of at least one major cloud provider (AWS, Azure, or GCP). • Experience with semantic modeling or metric layers (dbt, LookML, or Databricks Metric Views). • Background in BI tools (Power BI, Tableau, Looker) and how they integrate with Databricks SQL. We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What You Need to Have to Be Considered · • 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. Salary and Other Compensation : Applications will be accepted until November 20, 2026. The annual salary for this position is between $88,000 - $132,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · 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 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Requirements

Must-haves

Databricks Genie AI Engineer / Semantic Layer Engineer
In This Role, You Will
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.
Exposure to LLM-based or generative AI systems, prompt evaluation, or RAG architectures.
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.
Strong scripting/programming skills in Python and/or Scala; comfortable with SQL.
Working knowledge of at least one major cloud provider (AWS, Azure, or GCP).
Experience with semantic modeling or metric layers (dbt, LookML, or Databricks Metric Views).
Background in BI tools (Power BI, Tableau, Looker) and how they integrate with Databricks SQL.
What You Need to Have to Be Considered
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).

Nice-to-haves

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Keywords to mirror

aisqlllmci/cdpythonawsazuregcprest

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave