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Senior AI/ML Engineer

Optum

Hyderabad

7+ years

Today

$56.6K–90.4K/yr

Full-time

Onsite

Skills Required

LLM

Gen AI

RAG

agentic workflows

Prompt Engineering

Embeddings

Vector Database

decisioning agents

orchestration layers

Azure

Python

Java

Scala

Spring Boot

React

Description

Optum is a global organization focused on improving health outcomes through technology and care. The role involves leading AI/ML solution development to advance health optimization on a global scale.

Company: Optum

Experience

- 7+ years of software engineering experience

- 5+ years of hands-on experience building AI/ML solutions including LLMs, Generative AI, and traditional ML models

- Experience in the healthcare industry

- Full-stack engineering experience

Qualification

- Bachelor's degree in Computer Science or related technical field

Responsibilities

- Lead design, development, testing, deployment, maintenance, and continuous improvement of AI/ML solutions

- Serve as technical lead for complex AI/ML initiatives with end-to-end implementation ownership

- Build responsible AI solutions and reusable service components complying with enterprise standards

- Develop AI/ML-enabled features including Generative AI, predictive analytics, automation, chatbots, conversational AI, and intelligent workflows

- Champion AI/MLOps best practices for production readiness, monitoring, observability, resilience, and continuous improvement

- Drive modern engineering practices including automation-first development, code reuse, observability, test automation, CI/CD, operational excellence, and AI DLC adoption

- Partner with product management, architects, engineering leadership, and technology teams to deliver scalable AI solutions aligned with business objectives and enterprise AI strategy

- Create and maintain comprehensive solution, integration, and network architecture diagrams for AI/ML solutions

- Enforce and promote enterprise security, privacy, compliance, and quality standards within AI/ML solutions

- Accountable for high-quality software deliverables including maintainable code, reliable services, clear documentation, production readiness, and measurable operational outcomes

- Mentor, guide, and train engineers and team members on AI/ML technologies, engineering patterns, frameworks, MLOps, and responsible AI practices

- Use enterprise-approved AI tools to streamline engineering workflows and support continuous improvement

- Collaborate with cloud, platform, and modernization teams to integrate AI capabilities into cloud-native, digital-first, and enterprise-scale technology solutions

- Exercise independent judgment to prioritize, plan, and manage AI-related engineering activities, dependencies, risks, and delivery commitments

- Communicate complex AI/ML concepts, solution options, technical tradeoffs, risks, and results to technical teams, business stakeholders, and senior leadership

- Evaluate emerging AI/ML technologies, frameworks, patterns, and industry trends to inform solution design and drive enterprise innovation

Additional Responsibilities

- Comply with employment contract terms, company policies, and directives including possible transfer, reassignment, team or shift changes, and alternative work arrangements

More Skills

AI/ML solutions, Azure cloud native solutions, Chatbots, Conversational AI, NLP-based solutions, Security, Access controls, Logging, Monitoring, Performance tuning, Disaster recovery, Production operations, Modern API frameworks, REST APIs, GraphQL APIs, Foundation models, AgentCore, Agentic cloud patterns

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