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.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
