Senior AI/ML Engineer to design, build, deploy, and scale enterprise AI solutions. Work with a global organization that delivers care and technology to help millions of people live healthier lives.

Company: Optum

Role: Senior AI/ML Engineer

Location: Bengaluru, Karnataka

Experience:

12+ years of experience designing, building, and deploying enterprise AI/ML solutions
Hands-on experience building and operationalizing machine learning models and AI systems
Experience delivering production-grade AI applications and services at enterprise scale
Experience implementing MLOps and LLMOps practices, including CI/CD, deployment automation, model monitoring, and lifecycle management

Key Skills:

Python
SQL
ML models
deep learning (PyTorch / TensorFlow)
Generative AI: LLMs, RAG, prompt engineering, vector databases
Agentic AI: Multi-agent frameworks, orchestration, tool integration
Data Handling: Feature engineering, data pipelines, experimentation
Cloud Platforms: Azure / AWS / GCP
Optimization: Token usage, model selection, cost-performance tuning

Qualification:

Bachelor's degree in computer science, Engineering, Data Science, Artificial Intelligence, Mathematics, or related field; master's degree preferred

Role Focus:

Design, develop, and deploy end-to-end AI/ML solutions following AI Development Lifecycle (AIDLC) best practices
Build production-grade AI systems including data ingestion and processing pipelines, feature engineering pipelines, model training and evaluation workflows, model deployment and monitoring solutions
Develop scalable AI services and applications using APIs and microservices, batch and real-time processing architectures, cloud-native deployment patterns
Build and maintain reliable, secure, and high-performance AI platforms capable of supporting enterprise-scale workloads
Implement MLOps and LLMOps best practices, including CI/CD automation, model lifecycle management, experiment tracking, automated testing and validation, continuous monitoring and observability

Additional responsibilities:

Collaborate with cross-functional teams across AI, engineering, product, platform, and business functions to deliver production-ready AI capabilities
Measure and continuously improve solution effectiveness through operational metrics, performance monitoring, and business outcomes
Comply with organizational policies, security standards, governance requirements, and Responsible AI principles
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives

Nice to have:

Experience building and scaling enterprise AI platforms and production AI applications
Experience with MLOps and LLMOps platforms such as MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, or similar technologies
Experience developing cloud-native applications using containerization, Kubernetes, serverless computing, and modern deployment architectures
Experience implementing Retrieval-Augmented Generation (RAG), semantic search, vector databases, and enterprise knowledge retrieval solutions
Experience with distributed systems, streaming architectures, and large-scale data processing platforms such as Spark, Kafka, and Databricks

Other:

Comprehensive benefits and career development opportunities
Culture guided by inclusion, talented peers
Opportunity to make an impact on the communities served
UnitedHealth Group's mission to help people live healthier lives and make the health system work better for everyone

Senior AI/ML Engineer

Skills Required

Description