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UnitedHealth Group
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Hyderabad · On-site · Sep 28
1 views
15 open roles2 posted in 7d15 in 30d
Hiring: Engineering
Job description
Overview
Primary Responsibilities: • AI native Engineering & Delivery • Drive the design, development, and rollout of AI/ML and Generative AI capabilities that solve business problems and improve operational outcomes • Work closely with product, business, data, and architecture partners to define solution approaches and implementation strategies • Ensure AI-enabled applications meet exp
Responsibilities
- AI native Engineering & Delivery
- Drive the design, development, and rollout of AI/ML and Generative AI capabilities that solve business problems and improve operational outcomes
- Work closely with product, business, data, and architecture partners to define solution approaches and implementation strategies
- Ensure AI-enabled applications meet expectations for performance, scalability, maintainability, and regulatory compliance
- Promote adoption of reusable frameworks, accelerator assets, and engineering best practices to improve delivery efficiency
- Lead execution of engineering roadmaps, release plans, and solution enhancements across multiple initiatives
- ML Ops, Platform Engineering & Cloud Enablement
- Build and enhance enterprise ML Ops capabilities supporting the full AI lifecycle from experimentation through production operations
- Implement automated workflows for model training, validation, deployment, monitoring, rollback, and version management
- Establish model observability practices, including performance monitoring, drift detection, retraining strategies, and operational intelligence
- Improve reproducibility and governance of datasets, prompts, models, features, and experiments
- Partner with platform and infrastructure teams to advance CI/CD, Infrastructure-as-Code, containerization, and deployment automation
- Enable scalable and cost-efficient AI workloads across cloud platforms and modern engineering ecosystems
- Responsible AI & Technical Governance
- Develop and apply standards for responsible and trustworthy AI adoption
- Establish evaluation approaches for model quality, accuracy, explainability, safety, and risk management
- Guide implementation of retrieval, prompting, orchestration, and human oversight patterns for GenAI solutions
- Assess emerging technologies and identify opportunities that create measurable business value
- Contribute to architectural decisions, engineering standards, and technology modernization efforts
- Engineering Leadership & Business Partnership
- Lead and mentor teams of AI/ML engineers, fostering ownership, technical excellence, and continuous learning
- Support talent development through coaching, skill growth, succession planning, and knowledge-sharing initiatives
- Coordinate with cross-functional stakeholders to manage priorities, dependencies, risks, and resource needs
- Provide transparency into delivery progress, operational metrics, adoption trends, and business outcomes
- Influence AI adoption and engineering maturity within the broader organization through collaboration and thought leadership
- Demonstrate adherence to organizational policies, compliance requirements, security standards, and evolving business practices while maintaining a culture of accountability and integrity
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- Builder Responsibilities:
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- 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, Artificial Intelligence, Data Science, Engineering, Mathematics, Information Technology, or a related field; equivalent experience considered
- Experience in AI/ML engineering, software engineering, data engineering, or related technical disciplines
- Hands-on experience delivering Generative AI, LLM, AI Agent, Copilot, or intelligent automation solutions
- Experience working within Agile, Scrum, or product-centric delivery models
- Experience with prompt engineering, workflow orchestration, tool integration, and AI solution evaluation
- Experience integrating AI solutions with cloud platforms, APIs, databases, and enterprise applications
- Experience with cloud-native application development and deployment environments
- Working knowledge of RAG architectures, embeddings, vector databases, semantic search, and enterprise knowledge retrieval
- Hands-on knowledge of ML Ops practices including model deployment, model versioning, monitoring, retraining, and lifecycle management
- Understanding software engineering practices including source control, automated testing, CI/CD, and release management
- Understanding of responsible AI, security, governance, compliance, and operational controls for AI solutions
- Proven solid troubleshooting, problem-solving, communication, and stakeholder management skills
- Proven solid programming skills in Python with experience building APIs, services, and enterprise-grade applications
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Manager AI/ML Engineering - GenAI, RAG and MLops 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.
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- 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 AI/ML Engineering - GenAI, RAG and MLops remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Manager AI/ML Engineering - GenAI, RAG and MLops 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.