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UnitedHealth Group
Director AI/ML Engineering
UnitedHealth Group
Hyderabad•On-site•Jun 24
Job description
Overview
We are seeking an experienced and hands-on Director of Software Engineering to lead the design, development, and scaling of next-generation Agentic AI platforms that power M&R Sales-digital experiences.
Responsibilities
- Technical Leadership & Delivery
- Lead the design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions, including LLM and agentic systems (e.g., OpenAI, Gemini, Claude, Copilot)
- Define and scale AI-driven engineering practices, including AI-enabled SDLC (AIDLC) frameworks, tools, and reusable platforms
- Drive the productionization of AI solutions, including performance optimization, monitoring, observability, and reliability
- Apply AI-driven automation and agent-based workflows to improve engineering productivity, quality, and speed to market
- Team Leadership
- Build, lead, and mentor a high-performing, globally distributed team of AI/ML leaders, AI/agentic engineers, and full-stack and quality engineers
- Own talent development, including hiring, upskilling, performance management, and career growth
- Foster a culture of innovation, experimentation, and continuous learning
- Stakeholder & Business Engagement
- Partner with Product, Business, and Platform teams to define AI-driven solutions aligned to strategic priorities
- Drive alignment on roadmap, prioritization, and delivery outcomes across cross-functional teams
- Resolve complex technical and organizational challenges spanning engineering, data, infrastructure, and business domains
- Influence product and business strategy by bringing a strong AI/ML perspective to decision-making
- Thought Leadership & Evangelism
- Stay current with emerging trends in AI, LLMs, and agentic systems, and translate them into enterprise opportunities
- Champion responsible AI practices, including governance, risk management, and ethical use
- Build and communicate compelling narratives demonstrating business value and impact of AI initiatives
- Represent the organization in internal and external forums as a leader in AI innovation
Qualifications
- 15+ years of experience in software engineering, with significant focus on AI/ML and data-driven systems
- 5+ years of experience designing and deploying cloud-native solutions (Azure or AWS), including scalable AI/ML workloads
- 4+ years of experience leading large-scale AI/ML engineering organizations (20-50+ team members) with globally distributed teams
- 2+ years of Hands-on experience with Python and modern ML/GenAI frameworks (e.g., PyTorch, TensorFlow, LLM ecosystems, RAG, agent frameworks)
- Demonstrated ability to connect AI investments to measurable business outcomes (ROI, efficiency, growth, risk reduction)
- Flexibility to collaborate with global teams, including overlap with US-based stakeholders as needed