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Sagility
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Bengaluru · On-site · 7-10 Yrs · Oct 12
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
To build AI solutions on our Databricks and Fabric platforms for US healthcare operations such as claims, payment integrity, care management and contact centre, and help our BI and ETL engineers grow into AI work. This is a hands-on role.
Responsibilities
- Build and run GenAI and agent-based solutions end to end, from design through deployment and monitoring, using Azure OpenAI, AI Foundry and Databricks Mosaic AI.
- Deliver analytics use cases such as conversational analytics and text-to-SQL, document intelligence, automated insights and data-quality checks.
- Build RAG pipelines and vector search over Databricks, SharePoint and enterprise APIs.
- Set up evaluation (groundedness, hallucination, retrieval quality, regression) and monitoring (latency, tokens, cost, errors) for everything you ship.
- Keep solutions compliant with HIPAA and PHI requirements, including masking, access-controlled retrieval and prompt-injection protection.
- Work with operations leaders to find use cases worth building and prove their value.
- Mentor BI and ETL engineers and set up reusable standards for the team.
Qualifications
- Strong Python and SQL
- Azure OpenAI / AI Foundry, RAG, vector search, agents and tool calling
- Hands-on Databricks and/or Microsoft Fabric
- Experience evaluating and monitoring LLM solutions in production
- CI/CD and deployment on Azure
- Understanding of Healthcare payer or provider data
- Semantic Kernel, LangGraph or AutoGen; MCP
- Copilot Studio / Microsoft Graph
- Classical ML and MLflow
- AI-102 or Databricks GenAI certification
- 2 - 3 AI use cases in production with measurable impact
- An evaluation and monitoring standard adopted by the team
- 3 - 5 internal engineers contributing to AI delivery
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Scientist - AI Engineer at Sagility?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Sagility may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist - AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist - AI Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Scientist - AI Engineer role at Sagility?
- This is a mid-level Data Scientist - AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.