[Hiring] Databricks Genie AI Engineer @Dysrupit

Role Description

We are seeking a Databricks Genie AI Engineer to build the data foundation behind natural language analytics. This role enables business users to ask questions in plain language and receive trusted, governed insights through AI-enabled tools such as Databricks Genie. The ideal candidate combines strong Databricks, SQL, and semantic modelling expertise with practical knowledge of LLMs and evaluation frameworks. You will work closely with data engineers, platform teams, and business stakeholders to continuously improve the accuracy and reliability of AI-generated answers.

Job Responsibilities

• Design and maintain the semantic layer used by Databricks Genie, including table and column descriptions, synonyms, certified assets, sample questions, and metric definitions.
• Build, configure, and tune Genie Spaces to improve answer accuracy and relevance.
• Define metric views and business logic so that natural-language questions map to governed KPIs.
• Develop evaluation frameworks and regression tests to measure query accuracy and SQL quality.
• Diagnose failure modes such as ambiguous questions, incorrect joins, and misinterpreted metrics, and resolve them through schema, metadata, or instruction changes.
• Collaborate with data engineers to improve upstream data quality and data modelling.
• Support deployment, versioning, and monitoring of semantic assets in partnership with DevOps and platform teams.
• Translate business feedback into concrete changes to data models, prompts, or configuration.

Qualifications

• Hands-on Databricks experience, including Databricks SQL, Unity Catalog, and Databricks Genie.
• Strong SQL skills and proficiency in Python and/or Scala.
• Experience with semantic modelling, metric layers, or business-friendly data abstractions.
• Solid understanding of data warehousing and dimensional modelling.
• Experience building testing and validation frameworks for analytics or AI systems.
• Familiarity with large language models (LLMs), prompt engineering, or retrieval augmented generation (RAG).
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Strong analytical, problem-solving, and stakeholder management skills.
• Ability to work across cross-functional teams in a fast-paced environment.

Preferred Experience

• Experience with semantic modelling tools such as dbt, LookML, or Databricks Metric Views.
• Experience with BI tools such as Power BI, Tableau, or Looker, and their integration with Databricks SQL.

Benefits

• Competitive compensation package commensurate with experience.
• Government-mandated benefits plus supplemental Health Insurance.
• Collaborative and professional work environment.
• Career growth opportunities within a growing organization.
• Remote work arrangement.