{"id":4228887,"url":"https://alion.io/job/dysrupit-databricks-genie-ai-engineer","title":"Databricks Genie AI Engineer","company":{"id":3809909,"name":"DysrupIT","domain":"dysrupit.com","url":"https://alion.io/company/dysrupit","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GCP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"Looker","optional":true},{"name":"LookML","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-13T09:00:13Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T15:32:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"ABOUT DYSRUPIT\nDysrupIT is a leading global-based cloud services company. We support clients across the globe in their adoption of the cloud and their transformation to as-a-Service business models. DysrupIT is dedicated to making a positive impact in the communities it serves.\nCOMPANY CULTURE\nWe are constantly looking for talented people to join our team. We offer a unique and\nextraordinary career experience to motivate and inspire talents like you to make a difference in our customers, clients, and the entire organization. At DysrupIT, you’ll join a team of dedicated and brilliant professionals who share the same goal of pursuing integrity and excellence. We are\ncommitted to promoting a culture where employees are valued and respected. We invest in our employees and make sure that they will have the right training to secure their growth and advancement towards their career aspirations.\nJOB SUMMARY\nWe 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,\nplatform teams, and business stakeholders to continuously improve the accuracy and reliability of AI-generated answers.\nJOB RESPONSIBILITIES\nDesign and maintain the semantic layer used by Databricks Genie, including table and column descriptions, synonyms, certified assets, sample questions, and metric definitions.\nBuild, configure, and tune Genie Spaces to improve answer accuracy and relevance.\nDefine metric views and business logic so that natural-language questions map to governed KPIs.\nDevelop evaluation frameworks and regression tests to measure query accuracy and SQL quality.\nDiagnose failure modes such as ambiguous questions, incorrect joins, and misinterpreted metrics, and resolve them through schema, metadata, or instruction changes.\nCollaborate with data engineers to improve upstream data quality and data modelling.\nSupport deployment, versioning, and monitoring of semantic assets in partnership with DevOps and platform teams.\nTranslate business feedback into concrete changes to data models, prompts, or configuration. \nREQUIRED SKILLS\nHands-on Databricks experience, including Databricks SQL, Unity Catalog, and Databricks Genie. \nStrong SQL skills and proficiency in Python and/or Scala. \nExperience with semantic modelling, metric layers, or business-friendly data abstractions. \nSolid understanding of data warehousing and dimensional modelling. \nExperience building testing and validation frameworks for analytics or AI systems. \nFamiliarity with large language models (LLMs), prompt engineering, or retrievalaugmented generation (RAG). \n\nExperience with at least one cloud platform: AWS, Azure, or GCP. \nStrong analytical, problem-solving, and stakeholder management skills. \nAbility to work across cross-functional teams in a fast-paced environment. \nPREFERRED EXPERIENCE\nExperience with semantic modelling tools such as dbt, LookML, or Databricks Metric Views. \nExperience with BI tools such as Power BI, Tableau, or Looker, and their integration withDatabricks SQL. \n\nWHAT WE OFFER\nCompetitive compensation package commensurate with experience \nGovernment-mandated benefits plus supplemental Health Insurance \nCollaborative and professional work environment \nCareer growth opportunities within a growing organization \nRemote work arrangement","description_format":"text","description_chars":3645,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Growth opportunities","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-13T09:00:13Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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