Senior Manager of AI/ML Engineering
Optum/UHG · Bangalore, Karnataka, India · US
Software Engineering
–
Pharmacist
Demand88
Career growth86
Healthcare fit30
Remote potential45
5-year outlook
Likely strong over the next five years, as senior AI/ML engineering leadership in healthcare technology and payer settings remains competitively compensated. Exact pay will vary significantly by location, scope, team size, and company band, so verify against current market data.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-27
Intelligence details
Flexible work details
- Eligible countries
- United States
- Profession fit
- Pharmacist
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Only clinicians with substantial AI/ML engineering and people-management experience should consider this role; it is not a realistic bridge role for clinicians without deep technical leadership. Clinician-informaticists or clinical data scientists who have already moved into senior engineering management may find it relevant.
Who should apply
Physician, nurse, or pharmacist informaticists/clinical data scientists who have transitioned into senior AI/ML engineering management; healthcare-tech engineering leaders with payer, clinical data, or payment-integrity experience; leaders with agentic AI, production deployment, and platform-reuse experience.
CV angle
Emphasize real experience leading cross-functional AI/ML or data-platform teams, deploying production AI in regulated healthcare settings, managing clinical and administrative data workflows, payer/payment-integrity exposure, MLOps/observability/CI-CD, ethical AI governance, and stakeholder leadership. Quantify scale, reliability, reuse, and business impact, and do not overstate engineering management experience if it was not held.
Skills to highlight
- AI/ML engineering leadership
- Agentic workflows and AI platform delivery
- Healthcare clinical and administrative data
- Deployment automation and MLOps
- Production observability and reliability
- CI/CD and automated testing
- Cross-functional stakeholder leadership
- Ethical AI governance
Role summary
Senior manager leading an AI/ML engineering team for Optum/UHG's payer-focused agentic AI platform, covering platform execution, forward deployment, reusable AI services, automation, observability, and cross-functional delivery across Payment Integrity and Optum Real.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.