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UnitedHealth Group
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Gurugram · On-site · 8-11 Yrs · Oct 7
1 views
15 open roles2 posted in 7d15 in 30d
Hiring: Engineering
Job description
Overview
Primary Responsibilities: • Translate business problems into AI/ML, Generative AI, and Agentic AI solution approaches • Conduct hands-on experimentation using machine learning, Generative AI, Agentic AI, and emerging AI technologies • Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data • Design, build,
Responsibilities
- Translate business problems into AI/ML, Generative AI, and Agentic AI solution approaches
- Conduct hands-on experimentation using machine learning, Generative AI, Agentic AI, and emerging AI technologies
- Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data
- Design, build, and validate proof-of-concepts (POCs) and prototypes to assess technical feasibility, business value, scalability, and operational readiness
- Document learnings, experimentation results, architectural recommendations, and reusable solution assets
- Develop Generative AI solutions leveraging:
- Retrieval-Augmented Generation (RAG) architectures
- Prompt engineering and optimization techniques
- Vector databases and semantic retrieval frameworks
- AI evaluation and guardrails
- Collaborate with business, product, architecture, and engineering teams to clarify requirements and align solutions with measurable business outcomes
- Communicate experimentation results, trade-offs, recommendations, implementation considerations, and business impact to technical and non-technical stakeholders
- Accelerate organizational AI adoption by reducing the cycle time from experimentation to production deployment through repeatable patterns and reusable assets
- Create and implement data visualizations to communicate complex data insights effectively
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Artificial Intelligence, or related field (Master's degree preferred)
- 8+ years of experience delivering Data Engineering or AI/ML solutions with solid ownership of enterprise-scale AI initiatives
- Hands-on experience with Generative AI technologies, including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt engineering and evaluation
- Embeddings and vector database technologies
- Experience with Agentic AI frameworks, orchestration platforms, and tool integration patterns
- Cloud platform experience across Azure, AWS, and/or Google Cloud Platform
- Solid programming experience in Python, SQL and Snowflake
- Demonstrated experience designing, developing, and delivering successful AI proof-of-concepts that progressed into production environments
- Proven experience translating business challenges into effective solution strategies
- Proven ability to collaborate effectively with engineering organizations to enable successful production adoption of AI solutions
- Proven ability to collaborate effectively across business, product, engineering, and leadership teams
- Demonstrated solid analytical, problem-solving, communication, and stakeholder management skills
- 5+ years of experience working with a healthcare consulting firm
- Experience in AI/ML projects, data analytics and hands-on experience in AI/ML, Azure Data Factory, Python Programming, SQL, and Snowflake
- Creative, strategic thinker with excellent critical thinking skills
Nice to have
- 8+ years of
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Job application FAQ
Last updated 20 October 2026
- How do I apply for Manager Data Science - AI ML and Snowflake at UnitedHealth Group?
- 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. UnitedHealth Group may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Manager Data Science - AI ML and Snowflake 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 Manager Data Science - AI ML and Snowflake remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Manager Data Science - AI ML and Snowflake role at UnitedHealth Group?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.