AI/ML Engineer
Optum/UHG · Hyderabad, Telangana, India · US
Software Engineering
–
Pharmacist
Demand86
Career growth85
Healthcare fit42
Remote potential65
5-year outlook
Senior AI/ML engineers in healthcare payer and claims automation settings should remain in strong demand over the next few years. Compensation is likely to stay competitive, but this posting provides no salary range and actual pay will depend on location, level, and technical depth.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-30
Intelligence details
Flexible work details
- Side income
- Classified as side-income friendly
- Engagement type
- Contract
- Hours
- Variable hours
- Eligible countries
- United States
- Profession fit
- Pharmacist
Why this was classified this way
- contract
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only for clinicians who already have strong AI/ML engineering experience, especially with LLMs, RAG, Python, and production model deployment. General clinicians without a serious technical portfolio should not prioritize this role.
Who should apply
Physician-engineers, clinician-data scientists, nurse informaticists with strong ML engineering experience, pharmacy or health graduates with 7+ years in AI/ML, and healthcare technologists with claims/payment integrity domain exposure.
CV angle
Reframe clinical and healthcare experience as domain context for claims, payment integrity, fraud/waste/abuse, and operational workflows, while leading with hands-on AI/ML engineering projects, LLM/RAG applications, Python, model evaluation, Responsible AI, and production deployment experience. Do not present clinical credentials as a substitute for the required technical depth.
Skills to highlight
- Python
- Large Language Models and RAG
- Prompt engineering and intelligent automation
- Model evaluation, validation, and performance testing
- Responsible AI, explainability, and governance
- Cloud AI/ML and MLOps
- Healthcare claims and payment integrity domain knowledge
- Cross-functional stakeholder communication
Role summary
A senior AI/ML engineering role at Optum/UHG focused on building Generative AI, LLM, RAG, and automation solutions for healthcare claims, payment integrity, fraud/waste/abuse disputes, and operational triage.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.