Databricks Genie AI Engineer / Semantic Layer Engineer
About the Role
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.
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: 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, provincial or local laws.
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.
