Optum is looking to solve the problem of improving health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best, by leveraging AI and machine learning to build scalable, high-performance AI systems.
Requirements
- 7+ years of experience building large scale AI/ML systems on cloud
- 4+ years of experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- 4+ years of experience working with Python with strong CS fundamentals with expertise in distributed systems and programming languages
- 4+ years if working experience in GCP, Azure or AWS platforms. GCP is preferred.
- 1+ years of experience building AI Agents and solutions leveraging LLMs
- Proven track record of leading technical projects from start to finish working with a cross functional team
- Solid communication skills with the ability to explain complex technical concepts to diverse audiences
Responsibilities
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
- Partner with product managers, data scientists, platform engineers, and business stakeholders to translate business requirements into scalable machine learning systems and ensure alignment across engineering, product, and operations teams
- Champion best practices in software engineering, including code reviews, testing, CI/CD, and observability. Drive architectural decisions and contribute to long-term technical strategy for AI/ML systems
- Own the full lifecycle of AI/ML initiatives-from problem definition and data exploration to model development, deployment, and monitoring. Define project scope, success metrics, and timelines in collaboration with cross-functional teams and ensure timely delivery of high-quality solutions by managing technical execution, risk mitigation, and stakeholder communication
- Lead ML Engineers who are responsible for coding and developing software that deploys machine learning models, agents and prompts into production environments. This includes ensuring scalability, reliability and performance of deployed models. Mentor and guide junior engineers and peers, fostering a culture of continuous learning, technical rigor, and ownership
- Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems. Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
Other
- You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.
- Bias for Action
- Passion for innovation and staying current with emerging AI/ML trends, including GenAI and LLMs
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
- Candidates are required to pass a drug test before beginning employment.
