Requisition Number: 2371124 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 to start Caring. Connecting. Growing together. The Forward Deployed Engineer (FDE) operates at the intersection of consulting, engineering, and client delivery-partnering directly with healthcare payers and providers to design, build, and scale AI-powered solutions that address complex business and operational challenges. This role is deeply embedded with clients, leading engagements from discovery through deployment. The FDE translates ambiguous business needs into production-grade systems, combining solid technical expertise with a consultative mindset. Success in this role requires the ability to influence stakeholders, shape solution strategy, and deliver high-impact outcomes in dynamic client environments. 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. Primary Responsibilities: Client Engagement & Consulting Leadership - Partner directly with healthcare clients to understand strategic priorities, operational challenges, and digital transformation goals - Lead discovery sessions, workshops, and solution design engagements with both technical and business stakeholders - Act as a trusted advisor, guiding clients on how to apply AI/ML capabilities to real-world healthcare use cases (e.g., claims, revenue cycle, clinical workflows, member experience) - Translate client needs into clear problem statements, solution architectures, and delivery roadmaps Solution Design & Architecture - Design scalable, secure, and compliant AI-powered solutions aligned to healthcare industry requirements - Architect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platforms - Evaluate trade-offs between approaches (e.g., build vs. orchestrate, model selection, latency vs. accuracy) and communicate recommendations clearly to stakeholders - Ensure solutions are designed for real-world deployment, maintainability, and integration with existing client ecosystems Hands-on Engineering & Delivery - Build and deploy production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutions - Integrate AI agents and automation into client environments, optimizing for performance, scalability, and reliability - Rapidly prototype solutions to validate concepts, iterate with client feedback, and accelerate time-to-value - Troubleshoot complex technical challenges across distributed systems and cloud platforms Translation & Cross-Functional Collaboration - Bridge business, clinical, and technical perspectives-translating between stakeholders to ensure alignment and clarity - Collaborate with product, platform, and engineering teams to bring reusable capabilities into client deployments - Communicate complex technical concepts in a way that is accessible and actionable for non-technical stakeholders Delivery Excellence & Client Outcomes - Own delivery outcomes from initial discovery through production deployment and scale - Drive measurable impact for clients (e.g., operational efficiency, cost savings, improved experience) - Build solid, trusted relationships with client stakeholders to enable long-term partnerships - Contribute to reusable assets, playbooks, and best practices to accelerate future client engagements Success Measures - Delivers end-to-end client solutions from discovery through production deployment - Demonstrates the ability to translate ambiguous client needs into scalable, high-impact solutions - Builds trusted advisor relationships with client stakeholders - Drives measurable business outcomes for healthcare clients - Contributes to repeatable consulting and engineering patterns that scale across engagements - Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams You'll 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. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, Data Science, or related field - 10+ years of hands-on software engineering experience in deploying distributed systems and cloud-native solutions - Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns - Proficiency in modern development frameworks, APIs, and data integration approaches - Demonstrated advanced user capability on CodeX, Claude, etc. and other AI productivity tools - Experience working in cloud environments (e.g., Azure, AWS, GCP) - Proven ability to lead client engagements, including discovery, solution design, and delivery - Proven solid stakeholder management skills, with the ability to influence both technical and executive audiences - Experience structuring ambiguous problems and driving them to clear, actionable solutions - Proven excellent communication and storytelling skills, with the ability to adapt messaging to different audiences Preferred Qualifications: - Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering) - Healthcare Domain Expertise; understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle) - Familiarity with healthcare data, regulatory requirements, and interoperability considerations - Comfortable operating in fast-paced, ambiguous environments with evolving client needs - Solid collaboration mindset with the ability to work across distributed and cross-functional teams - Entrepreneurial, solution-oriented approach with a bias toward action and outcomes *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $203,200 to $348,400 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description We are looking for a high-agency AI Engineer to help us build new AI features faster and improve the quality, reliability, and speed of existing AI workflows. This is a hands-on engineering role. Not research. Not prompt-only. You will turn ambiguous product ideas into working, production-ready AI features. The role is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed. You will work closely with product and engineering, but we expect you to take real ownership. You should be comfortable moving fast, making technical decisions under ambiguity, and using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar every day. As our Applied AI Engineer, you will: - Build new AI-powered product features from idea to production - Improve existing AI workflows for quality, reliability, latency, and user value - Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior - Build evaluation loops, tests, and quality checks for AI-generated outputs - Integrate AI capabilities into existing product and backend systems - Work with commercial and open-source LLMs without being tied to one specific provider - Support self-hosted model workflows where they make sense for quality, speed, cost, or control - Debug AI feature failures across inputs, outputs, data, backend logic, and user flows - Use AI development tools as a core part of your daily workflow - Ship quickly while keeping production quality high Qualifications - Strong software engineering skills, especially in Python or a comparable backend language - Experience building AI-powered product features or LLM-based workflows - Ability to turn ambiguous product ideas into working software quickly - Strong understanding of how to design, test, validate, and improve AI outputs - Experience integrating AI workflows into production systems - Strong debugging instincts across application logic, data, model outputs, and user-facing behavior - Experience with evaluation, testing, validation, or quality checks for AI-generated outputs - Serious experience using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar as part of your daily workflow - High intelligence, fast learning speed, bias to action, and ownership mindset - Comfortable with ambiguity, fast decisions, and a high-trust startup environment - Clear written and spoken English Requirements - Experience with frontend or fullstack product development - Experience with self-hosted LLMs, model serving, inference optimization, or similar systems - Experience with open-source LLMs and related deployment workflows - Experience improving latency, cost, quality, or reliability of AI systems - Experience with healthcare software, healthcare data, or regulated environments - Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation - German language skills - Knowledge of nursing homes or elderly care workflows Benefits - Remote work - Fair compensation based on skills, experience, and location - Ownership of important backend systems - Work on software used in real healthcare workflows - Modern AI-native development workflow - Room to grow with the company

• Build internal AI agents and automation used in production across our brands. • Turn manual, repetitive workflows into reliable agents, and own their quality, cost, and reliability. • Coach non-technical teams to work AI-native so the leverage compounds. • Help set the standards, stack, and practices the full-time AI team will run on.

• develop and maintain ChatBots • handle complex conversational flows • integrate APIs • conduct impact analysis • optimize and review code • train voice bots and manage integrations • build and deploy multi-language bots • collaborate with teams and stakeholders • participate in Agile development processes • manage project tasks in JIRA • work in a shift from 2 pm to 11 pm (IST)