AI/ML Engineer

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:

• Develop and integrate AI/ML models into enterprise applications with a focus on scalability and performance
• Conduct advanced model testing, validation, and optimisation for accuracy and efficiency
• Implement workflows using LLMs, RAG, LangChain/LangGraph, and Agentic AI patterns for production-grade solutions
• Deploy models on Azure, GCP, or AWS using CI/CD pipelines and containerisation (Docker/Kubernetes)
• Collaborate with engineering teams to ensure seamless integration of AI services into applications
• Implement monitoring and observability for AI systems to ensure reliability and compliance
• Apply organisational security and compliance standards for AI integrations
• Optimise AI services for cost, scalability, and performance in production environments
• Document integration processes, maintain best practices, and contribute to continuous improvement
• Stay updated on emerging AI/ML tools, frameworks, and trends relevant to enterprise adoption
• 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 regards 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

• Bachelor's or Master's in Computer Science, Engineering, or related field
• 6+ years of experience in software engineering with strong exposure to AI/ML solutions
• Hands-on experience with LLMs, LangChain/LangGraph, and RAG concepts
• Experience deploying models on cloud platforms (Azure preferred, GCP, AWS) with CI/CD and containerization
• Familiarity with monitoring, observability, and performance optimization for AI systems
• Solid understanding of security and compliance requirements for AI deployments
• Good understanding of modern DevOps practices and infrastructure automation
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)
• Proven excellent analytical and problem-solving skills
• Proven ability to work collaboratively in cross-functional teams and contribute to technical decisions
• Proven solid communication and documentation skills