Manager AI/ML Engineering

Optum; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Optum in Bengaluru seeks a senior AI scientist to design, develop, and deploy advanced GenAI and NLP solutions, leveraging state-of-the-art transformer models and ML frameworks. You will lead evaluation of new LLMs, vector search techniques, and enterprise GenAI platforms while architecting robust RAG systems.

You will build scalable NLP pipelines, enhance performance and reliability, and collaborate across research, engineering, and product teams to translate AI advances into production

Qualifications

• Bachelor's degree or higher in computer science or engineering with a focus on language processing.
• 7+ years of experience in AI, ML and/or NLP R&D (PhD may relax the requirement).
• 10+ years of overall experience.
• Experience with traditional ML algorithms and modern DL / generative AI models.
• Proficient in repository management and GPU usage; able to rapidly set up pipelines for testing ideas.
• Proficient in Python, SQL and other data-analysis languages.
• Proficient with cloud environments such as Azure, AWS, and GCP.
• Excellent analytical and problem-solving skills; able to disaggregate issues and identify root causes.

Responsibilities

• Design, develop, and deploy advanced GenAI and NLP solutions using transformer models and ML frameworks.
• Lead research, evaluation, and integration of new LLMs, vector search technologies, and enterprise GenAI platforms.
• Build and optimize Retrieval-Augmented Generation systems with vector databases to improve grounding and retrieval accuracy.
• Architect agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel for single and multi-agent reasoning.
• Drive development of high-quality NLP pipelines, including tokenization, embeddings, seq2seq models, metrics, and domain adaptation.
• Perform data analysis, preprocessing, and feature engineering to improve data quality and model reliability.
• Develop and maintain scalable bigdata pipelines for ingestion, processing, and analysis of structured and unstructured data.
• Optimize model inference, latency, and throughput; integrate with LLM gateways, guardrails, and evaluation frameworks.
• Collaborate with research, engineering, and product teams to translate AI advances into production capabilities while ensuring ethical AI practices.

Skills

GenAI & NLP

Python

SQL

Cloud platforms

Research & evaluation

Prompt engineering

Data preprocessing

Education

Bachelor's degree or higher in CS/Engineering

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

FAISS

Pinecone

Chroma

Job description

Optum 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.

Primary Responsibilities:

• Design, develop, and deploy advanced GenAI and NLP solutions to solve complex business and healthcare problems, using stateoftheart transformer models, LLMs, and modern ML frameworks
• Lead research, evaluation, and integration of new LLMs (GPT, Claude, Gemini, Anthropic), vector search technologies, promptengineering techniques, and enterprise GenAI platforms
• Build and optimize RetrievalAugmented Generation (RAG) systems using vector databases (FAISS, Pinecone, Chroma), improving grounding, retrieval accuracy, and overall system reliability
• Architect and implement agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel, enabling singleagent and multiagent systems for reasoning, planning, and toolcalling
• Drive the development of highquality NLP pipelines-including tokenization, embeddings, seqtoseq models, evaluation metrics, and domain adaptation-with a focus on performance, scalability, and robustness
• Perform advanced data analysis, preprocessing, and feature engineering to ensure data quality, reduce noise, and improve model reliability
• Develop and maintain scalable bigdata pipelines for ingestion, processing, and analysis, working with structured and unstructured datasets
• Optimize model inference, latency, and throughput, including integration with LLM gateways, guardrails, filters, and enterprise evaluation frameworks
• Scientist Responsibilities: (manager discretion if AI responsibilities are already present in JD):
  • Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor''s degree or higher in computer science or engineering with a focus on language processing
• 7+ years of experience in AI, ML and/or NLP R&D (with demonstrable impact preferred). This requirement maybe relaxed for candidates with a PhD
• 10+ years of overall experience
• Experience with both traditional machine learning algorithms and modern deep learning and generative AI models
• Proven good knowledge of and hands‑on skills with repository management and GPU use, and the ability to rapidly set up pipelines for testing new ideas
• Proficiency in Python, R, SQL and other programming languages for data analysis and modeling
• Proficiency with cloud development environments such as Azure, AWS, and GCP
• Proven excellent analytical and problem‑solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.