Optum AI ML Engineer Jobs 2026 | Apply Online for GenAI Engineer Role
Optum AI ML Engineer Jobs 2026 | Apply Online for GenAI Engineer Role
Optum is hiring for the AI/ML Engineer role in Gurgaon, offering an excellent opportunity for candidates interested in Generative AI, machine learning engineering, NLP systems, and production-grade AI application development. This role is ideal for candidates with relevant AI/ML experience and strong technical skills in Python, databases, ML deployment, and modern GenAI frameworks.
As part of Optum’s global healthcare technology ecosystem, selected candidates will work on impactful AI solutions that directly improve healthcare outcomes, automation systems, pharmacy workflows, and enterprise product innovation. For professionals targeting high-growth careers in AI engineering, LLM systems, agentic AI, MLOps, and applied machine learning, this is a strong premium opportunity.
| Company Name | Optum (UnitedHealth Group) |
| Role | AI/ML Engineer |
| Qualification | Undergraduate Degree or Equivalent Experience |
| Salary | ₹18 LPA – ₹40 LPA+ (Approx.) |
| Job Type | Full Time |
| Latest Walkin Jobs | Click here |
| Job Category | Technology |
Role Overview
The AI/ML Engineer role at Optum focuses on building production-grade artificial intelligence systems for healthcare, pharmacy, enterprise products, and automation use cases. This is not a research-only position—it is a hands-on engineering role where candidates will design scalable AI pipelines, build APIs, productionize machine learning systems, and collaborate with engineering and product teams.
The role includes work across both classical machine learning and modern GenAI systems, making it highly attractive for professionals who want exposure to LLM applications, NLP pipelines, vector databases, agentic architectures, model deployment, and scalable AI infrastructure.
Key Responsibilities
- Build and deploy production-ready GenAI and agentic AI solutions.
- Design machine learning systems for structured and unstructured datasets.
- Develop scalable Python-based AI pipelines and APIs.
- Work on prediction, recommendation, optimization, and NLP use cases.
- Collaborate with engineering, product, and platform teams.
- Productionize machine learning models with API integration and load optimization.
- Manage inference performance, latency optimization, and HPC workloads.
- Support enterprise AI operationalization and deployment workflows.
- Work with Spark/DataBricks environments.
Required Skills / Eligibility
- Undergraduate degree or equivalent relevant experience.
- Strong Python programming skills.
- Hands-on experience with GenAI frameworks.
- Knowledge of agentic AI architectures.
- Strong machine learning fundamentals.
- Experience with classification, regression, and Bayesian ML concepts.
- Experience with NLP systems.
- SQL and vector database knowledge.
- Exposure to production AI deployment workflows.
- Experience with Spark or DataBricks environments.
- Strong analytical and engineering problem-solving skills.
Preferred Skills
- MLOps deployment tool experience.
- Azure cloud platform familiarity.
- Experience with Ray, ONNX, PEFT, LoRA, QLoRA.
- Efficient model inference optimization knowledge.
- Enterprise-scale ML system deployment experience.
Salary Insights
Optum has not officially disclosed salary for this AI/ML Engineer role. Based on current AI engineering compensation benchmarks in Gurgaon for professionals with GenAI and production ML experience, estimated salary may range between ₹18 LPA and ₹40 LPA+, depending on skills, prior experience, architecture exposure, and interview performance.
Why This Role is Good for Candidates
This is a premium AI engineering opportunity because it combines healthcare impact with modern AI technologies including LLM engineering, agentic AI, NLP systems, MLOps, API engineering, and scalable production deployment. Experience in such environments can significantly strengthen long-term career prospects in AI product companies, healthcare technology, and enterprise AI engineering.
Recommended Skills / Learning Resources
Candidates interested in AI engineering and machine learning deployment should strengthen relevant technical skills:
Interview Preparation
Candidates should prepare machine learning fundamentals, NLP concepts, LLM workflows, Python coding, SQL queries, API design discussions, and behavioral interviews. Practice preparation using Technical Interview Questions.
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How to Apply for Optum AI ML Engineer Jobs 2026
- Click the “Apply Now” button below.
- You will be redirected to the official Optum careers page.
- Review all eligibility requirements, technical expectations, and preferred skills.
- Prepare an updated resume highlighting AI/ML projects, Python skills, deployment experience, and GenAI exposure.
- Complete the official online application form accurately.
- Submit the application and wait for recruitment communication.
Frequently Asked Questions
Who can apply for the Optum AI/ML Engineer role?
Candidates with an undergraduate degree or equivalent experience and strong AI/ML engineering skills can apply.
Is this suitable for freshers?
This role is designed for candidates with relevant practical AI/ML experience rather than pure freshers.
What technologies are important for this role?
Python, GenAI frameworks, NLP, SQL, vector databases, Spark, DataBricks, MLOps, and Azure-related deployment knowledge are highly relevant.
Final Thoughts
If you are targeting high-growth AI engineering careers in enterprise healthcare technology, this Optum opportunity is worth serious attention. Keep strengthening production AI engineering skills, deployment knowledge, and machine learning fundamentals while exploring related premium technology roles.