{"id":4245516,"url":"https://alion.io/job/allianz-senior-databricks-ai-architect","title":"Senior Databricks & AI Architect","company":{"id":1757325,"name":"Allianz","domain":"allianz.com","url":"https://alion.io/company/allianz-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":144,"ghost_share":0.007,"stale_share":0.007,"repost_share":0.09,"time_to_fill_p50_days":15,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thiruvananthapuram, India","Pune, 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insurance processes (e.g., claims, underwriting, and risk assessment).\n\nKey Responsibilities : \n\n- Design and govern end-to-end data architectures on the Databricks Data Intelligence Platform, ensuring seamless integration with existing insurance ecosystems.\n\n- Lead the design of emerging AI workflows, specifically focusing on Agentic AI (multi-agent systems), LLM orchestration (LangChain/LlamaIndex), and RAG patterns tailored for insurance policy and regulatory documents.\n\n- Own the platform's efficiency, implementing cluster policies, Photon engine optimisations, and cost-attribution models to ensure high performance with a focus on ROI.\n\n- Standardise data engineering templates (Medallion architecture) and implement robust data modelling (Star/Snowflake, Vault 2.0) to handle structured and unstructured insurance data.\n\n- Translate complex insurance concepts (Premiums, Claims, Actuarial models) into scalable technical schemas and AI logic.\n\n- Ensure all designs comply with industry regulations using Databricks Unity Catalog.\n\nRequired Skills & Experience :\n\n- 8+ years in Data Engineering/Architecture, with at least 3+ years of hands-on leadership within the Databricks ecosystem.\n\n- Expert-level knowledge of the Spark framework (PySpark/Scala), Delta Lake, and Databricks SQL.\n\n- Proven experience building and deploying AI solutions, with a deep understanding of the Agentic AI landscape.\n\n- Specific experience in Databricks cost management, instance selection, and performance tuning (Z-Ordering, Liquid Clustering).\n\n- Strong background in data modelling and the creation of reusable ETL/ELT templates and frameworks.\n\n- Prior experience in the Insurance or FinServ sector is highly preferred.\n\nEducation & Certifications :\n\n- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.\n\n- Preferred: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning 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