Optum India
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Gurugram · On-site · 8-11 Yrs · Oct 22
Healthcare Services & Hospitals · 10000+ Employees · Eden Prairie, US
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Hiring: Engineering
What employees say
+ Great work life balance at Optum
− Slow growth and lesser hikes in CRs
More reviews on the company profile.
Interview experience · Software Engineer
Nice ambiance and hiring manager is so kind clearly explain the process flow and what it my role would be in the company overall nice conversation and HR process also good hiring process also fine
Average difficulty · Chennai · 728 reports
More interview insightsJob description
Overview
An SG31 Senior Director, AI/ML Engineering is a senior technology executive responsible for leading enterprise AI initiatives from strategy through execution and value realization.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related technical field
- 15+ years of technology and software engineering experience, including at least 8-10 years of leadership experience managing engineering organizations
- Experience leading enterprise-scale AI platforms, MLOps, AI governance frameworks, model deployment, observability, and production operations
- Experience developing senior leaders, driving organizational transformation, managing talent strategies, workforce planning, succession planning, and building high-performing engineering cultures
- Experience translating business strategy into technology roadmaps and investment priorities
- Experience establishing and operating AI governance frameworks, Responsible AI practices, model risk management processes, security controls, compliance requirements, and audit readiness
- Experience partnering with CIOs, business executives, product leaders, operations leaders, and external partners
- Solid understanding of financial management, budgeting, business case development, operational metrics, and technology investment governance.
- Deep understanding of Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Agentic AI, Natural Language Processing, Generative AI, intelligent automation, cloud platforms, and modern software engineering practices
- Proven track record of building and scaling enterprise AI/ML solutions, leading large engineering teams, and delivering measurable business outcomes through AI, automation, and digital transformation initiatives
- Demonstrated success leading multi-functional teams across onshore and offshore locations
- Exceptional communication, influencing, and stakeholder management skills
- Proven ability to manage complex portfolios, prioritize competing demands, drive value realization, and communicate effectively with executive leadership
- Demonstrated ability to present strategy, roadmap, business value, risks, and recommendations to senior leadership and executive committees
- Demonstrated ability to inspire teams while maintaining solid accountability for execution and results
- Demonstrated ability to balance innovation with enterprise governance, regulatory obligations, privacy requirements, and operational risk management
- Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering Management, or Business Administration
- Ph.D. in AI, Machine Learning, Computer Science, or a related discipline is advantageous for highly specialized AI leadership roles
- Industry certifications such as Microsoft Azure AI Engineer, Azure Solutions Architect, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, SAFe Agilist, PMP, TOGAF, Certified Scrum Professional, or other AI, cloud, architecture, and leadership certifications
- Solid knowledge of Azure AI services, APIs, distributed systems, and platform engineering
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Job application FAQ
Last updated 10 November 2026
- How do I apply for Senior Director AI/ML Engineering at Optum India?
- 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. Optum India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Director AI/ML Engineering 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 Senior Director AI/ML Engineering 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 Senior Director AI/ML Engineering role at Optum India?
- This is a senior Senior Director AI/ML Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.