{"id":3362252,"url":"https://alion.io/job/unitedhealth-group-process-reengineering-sr-solution-engineer-remote","title":"Process Reengineering Sr Solution Engineer - Remote","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":162,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Eden Prairie, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":199000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1026},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-27T21:44:16Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-11T02:45:57Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"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.\nWe 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 LangGraph and LangChain.\nYou 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).\nYou'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.\nPrimary Responsibilities:\nDevelop AI first vision for the modernization of existing systems and develop prototypes using AI tools\nBuild solution architectures, prototypes, and reference implementations including technologies GenAI technologies (LLMs, RAG, Agentic AI)\nDevelop and implement solutions in production environments with a focus on scalability and reliability\nComfortable in designing, preparing client ready material and presenting to the clients or facilitating Cloud strategy / architecture discussions with clients\nManage intake, coordination, and execution of engineering workloads\nMentor and coach junior engineers to build team capability\nInfluence cross-functional teams and drive alignment across enterprise initiatives\nCollaborate with stakeholders across Operations, Product, Architecture, and Quality Management\nCommunicate clearly and effectively to align technical and business goals\nContribute to Pharmacy Modernization efforts aligned with enterprise strategy\nWork Eastern Time Zone hours to support global collaboration\nParticipate in on-call rotations as scheduled\nYou'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.\nRequired Qualifications:\n10+ years or more of experience in IT with at least 5 years in Consulting with top 4 consulting organizations\n10+ years of industry or academic experience in AI/ML or Data Science\n5+ years of overall IT experience in Infrastructure management, application design, architecture, or application delivery\n5+ years of solid legacy modernization, cloud modernization, process reengineering experience \n5+ years of experience with Python and version control tools like GitHub\n5+ years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow)\n4+ years of experience deploying AI/ML solutions in production environments\n2+ years of AI enabled process modernization experience with broad business areas / LOBs\nDeep experience in any of the hyperscalers preferably Google platform\nDeep experience in areas adjacent to cloud like data engineering, AI, process improvement, etc\nPreferred Qualifications:\nCertifications in AI/ML or related technologies, Google cloud and any AI tool like Anthropic / Open AI\nIndustry or academic experience in AI/ML or Data Science\nExperience with Python and version control tools like GitHub\nExperience with deep learning frameworks (e.g., PyTorch, TensorFlow)\nExperience deploying AI/ML solutions in production environments\nExperience with Git management and CI/CD best practices\nExperience designing high-level cloud architecture for AI/ML solutions\nKnowledge of UAIS and MLRB\n*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy\nPay 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 $xx,xxx to $xx,xxx annually based on full-time employment. We comply with all minimum wage laws as applicable.\nApplication Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.\nAt UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.\nUnitedHealth Group and its affiliated brands are 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.\nUnitedHealth Group and its affiliated brands are a drug-free workplace. 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