Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Lead AI/ML Engineer will define and execute the AI/ML engineering roadmap, provide technical leadership, and design, build, and deploy production-ready AI systems. The role also leads MLOps, responsible AI, cloud infrastructure, and collaboration with engineering and business teams to deliver scalable healthcare technology solutions.
Responsibilities
- Define and execute the AI/ML engineering roadmap aligned with business objectives
- Provide technical leadership for AI, Machine Learning, Generative AI, Agentic AI, NLP, and Predictive Analytics initiatives
- Lead AI solution architecture reviews and technology selection decisions while mentoring and developing AI/ML engineers and data scientists
- Design, build, train, evaluate, and deploy production-ready machine learning and deep learning models
- Lead implementation of LLM-based applications, RAG architectures, AI agents, and conversational AI platforms
- Establish model performance benchmarks, validation frameworks, responsible AI, explainability, bias mitigation, and model governance practices
- Design and implement end-to-end MLOps pipelines, CI/CD standards, model monitoring, drift detection, and observability on cloud platforms (e.g., Azure or GCP)
- Collaborate with data engineering teams to develop reliable data pipelines and feature stores while ensuring compliance with security and regulatory standards
- Partner with business leaders and domain experts to translate complex business problems into scalable AI solutions and communicate technical outcomes to executive audiences
- Strategically leverage enterprise AI capabilities to streamline workflows, optimize inference performance, solve complex challenges, and drive continuous engineering excellence
Skills
- 5+ years of software engineering or data engineering experience
- 2+ years of hands-on Machine Learning engineering experience
- Experience building and deploying production-ready ML/DL models into live environments
- Experience designing or implementing cloud-native infrastructure or MLOps pipelines (e.g., Azure or GCP)
- Demonstrated track record of delivering AI solutions that drive measurable business impact
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related field
- Experience delivering Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, and AI agents
- Hands-on experience with responsible AI frameworks, explainability tools, bias mitigation, and model governance
- Proven solid leadership and communication skills with experience presenting technical concepts to executive stakeholders
Benefits
- Flexibility to work remotely from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
- Development for other roles you may be interested in
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