JOBSEARCHER

Forward Deployed Engineer (FDE) - Remote

OptumRemoteL7 ManagerJuly 11th, 2026
Primary Responsibilities:Client Engagement & Consulting LeadershipPartner directly with healthcare clients to understand strategic priorities, operational challenges, and digital transformation goalsLead discovery sessions, workshops, and solution design engagements with both technical and business stakeholdersAct 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 roadmapsSolution Design & ArchitectureDesign scalable, secure, and compliant AI-powered solutions aligned to healthcare industry requirementsArchitect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platformsEvaluate trade-offs between approaches (e.g., build vs. orchestrate, model selection, latency vs. accuracy) and communicate recommendations clearly to stakeholdersEnsure solutions are designed for real-world deployment, maintainability, and integration with existing client ecosystemsHands-on Engineering & DeliveryBuild and deploy production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutionsIntegrate AI agents and automation into client environments, optimizing for performance, scalability, and reliabilityRapidly prototype solutions to validate concepts, iterate with client feedback, and accelerate time-to-valueTroubleshoot complex technical challenges across distributed systems and cloud platformsTranslation & Cross-Functional CollaborationBridge business, clinical, and technical perspectives—translating between stakeholders to ensure alignment and clarityCollaborate with product, platform, and engineering teams to bring reusable capabilities into client deploymentsCommunicate complex technical concepts in a way that is accessible and actionable for non-technical stakeholdersDelivery Excellence & Client OutcomesOwn delivery outcomes from initial discovery through production deployment and scaleDrive measurable impact for clients (e.g., operational efficiency, cost savings, improved experience)Build solid, trusted relationships with client stakeholders to enable long-term partnershipsContribute to reusable assets, playbooks, and best practices to accelerate future client engagementsSuccess MeasuresDelivers end-to-end client solutions from discovery through production deploymentDemonstrates the ability to translate ambiguous client needs into scalable, high-impact solutionsBuilds trusted advisor relationships with client stakeholdersDrives measurable business outcomes for healthcare clientsContributes to repeatable consulting and engineering patterns that scale across engagementsDemonstrates 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 teamsRequired Qualifications:Bachelor’s degree in Computer Science, Engineering, Data Science, or related field10+ years of hands-on software engineering experience in deploying distributed systems and cloud-native solutionsExperience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patternsProficiency in modern development frameworks, APIs, and data integration approachesDemonstrated advanced user capability on CodeX, Claude, etc. and other AI productivity toolsExperience working in cloud environments (e.g., Azure, AWS, GCP)Proven ability to lead client engagements, including discovery, solution design, and deliveryProven solid stakeholder management skills, with the ability to influence both technical and executive audiencesExperience structuring ambiguous problems and driving them to clear, actionable solutionsProven excellent communication and storytelling skills, with the ability to adapt messaging to different audiencesPreferred 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 considerationsComfortable operating in fast-paced, ambiguous environments with evolving client needsSolid collaboration mindset with the ability to work across distributed and cross-functional teamsEntrepreneurial, solution-oriented approach with a bias toward action and outcomesPay 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.