Process Reengineering Sr Solution Engineer - Remote

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives?

Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

We are seeking an experienced and visionary Process Reengineering Sr Solution Engineer - Remote with deep expertise in Generative AI technologies and cloud technologies. This role focuses on revisioning existing process and building prototypes using AI tool sets and developing reference implementations using technologies such as LLMs, RAG, Agentic AI, and frameworks like Lang Graph and Lang Chain.

You will work with a team of engineers, managing coordination and execution of workloads while mentoring and coaching team members. Collaboration across cross-functional teams-including operations, product, architecture, and quality management-is key, with the ability to influence without authority and drive alignment across enterprise initiatives. You'll engage directly with Pharmacists to understand operational challenges and partner with Capability leaders to co-design impactful solutions.

This role also contributes to Pharmacy Modernization initiatives, aligning with organizational goals to leverage AI for reducing manual work, accelerating delivery, and enhancing Net Promoter Score (NPS).

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Develop AI first vision for the modernization of existing systems and develop prototypes using AI tools
• Build solution architectures, prototypes, and reference implementations including technologies GenAI technologies (LLMs, RAG, Agentic AI)
• Develop and implement solutions in production environments with a focus on scalability and reliability
• Comfortable in designing, preparing client ready material and presenting to the clients or facilitating Cloud strategy / architecture discussions with clients
• Manage intake, coordination, and execution of engineering workloads
• Mentor and coach junior engineers to build team capability
• Influence cross-functional teams and drive alignment across enterprise initiatives
• Collaborate with stakeholders across Operations, Product, Architecture, and Quality Management
• Communicate clearly and effectively to align technical and business goals
• Contribute to Pharmacy Modernization efforts aligned with enterprise strategy
• Work Eastern Time Zone hours to support global collaboration
• Participate in on-call rotations as scheduled

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• 10+ years or more of experience in IT with at least 5 years in Consulting with top 4 consulting organizations
• 10+ years of industry or academic experience in AI/ML or Data Science
• 5+ years of overall IT experience in Infrastructure management, application design, architecture, or application delivery
• 5+ years of solid legacy modernization, cloud modernization, process reengineering experience
• 5+ years of experience with Python and version control tools like Git Hub
• 5+ years of experience with deep learning frameworks (e.g., PyTorch, Tensor Flow)
• 4+ years of experience deploying AI/ML solutions in production environments
• 2+ years of AI enabled process modernization experience with broad business areas / LOBs
• Deep experience in any of the hyperscalers preferably Google platform
• Deep experience in areas adjacent to cloud like data engineering, AI, process improvement, etc

• Certifications in AI/ML or related technologies, Google cloud and any AI tool like Anthropic / Open AI
• Industry or academic experience in AI/ML or Data Science
• Experience with Python and version control tools like Git Hub
• Experience with deep learning frameworks (e.g., PyTorch, Tensor Flow)
• Experience deploying AI/ML solutions in production…