Requisition Number: 2363403 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together The Senior Engineer partners with technical and business stakeholders to deliver scalable, supportable data pipelines and data products that meet enterprise needs. The position provides technical leadership for platform modernization, drives adoption of reusable engineering patterns and standards, and helps shift delivery from fragmented ownership to a more centralized and sustainable model. It is expected to influence architectural direction, reduce operational complexity, and improve the speed, quality, and reliability of data delivery across teams. Positions in this function design, build, and operationalize data engineering solutions that enable enterprise analytics, reporting, and data product delivery. The role is responsible for modernizing legacy ETL pipelines, improving data quality and reliability, and establishing secure, scalable patterns for data movement and transformation. Success in this position requires solid architectural judgment, disciplined engineering practices, and the ability to advance cloud-based and automation-driven solutions that improve consistency, resilience, and delivery efficiency across the organization. Job Scope and Guidelines: - Operates independently in a complex, Agile, matrixed environment with minimal oversight - Leads design and implementation of reusable data pipeline frameworks and engineering patterns - Establishes standards across ingestion, transformation, orchestration, and operational support - Ensures solutions are scalable, secure, reliable, and aligned with governance requirements - Translates business needs into practical engineering solutions with clear operational value - Provides leadership during production incidents, troubleshooting, and root cause resolution - Drives continuous improvement through automation, standardization, and simplification 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: - Data Engineering and Platform Modernization - Lead modernization of legacy ETL solutions to cloud-based architectures using platforms such as ADF and Snowflake - Design and scale reusable ingestion, transformation, and orchestration frameworks that improve maintainability and delivery consistency - Deliver high-quality data pipelines and products that align with business priorities and enable trusted analytics and reporting - Ensure solutions are well documented, supportable, and consumable by downstream users and engineering partners - Establish consistent delivery patterns that improve usability, reduce rework, and accelerate time to value - Engineering Standards and Technical Leadership - Promote best practices in data engineering, ETL development, and data modeling across the delivery lifecycle - Influence architectural decisions and drive adoption of engineering standards across teams and initiatives - Act as a technical multiplier by coaching others, improving reusable practices, and raising overall engineering maturity - Build resilient data pipelines with effective monitoring, alerting, and recoverability - Support production stability through incident response, root cause analysis, and durable corrective actions - Reduce operational burden by automating repetitive tasks and improving platform supportability - Security, Governance, and Compliance - Align to enterprise security and governance standards - Apply role-based access and data protection - Support compliant handling of sensitive data - AI-Enabled Engineering - Apply AI-assisted tooling and automation where it improves engineering productivity, code quality, or operational efficiency - Identify practical opportunities to accelerate development, testing, analysis, and support workflows through responsible AI usage Functional Competencies - Solid command of data engineering principles, architecture patterns, and platform tradeoff decisions - Ability to navigate ambiguity and make sound technical decisions that balance speed, quality, and risk - Demonstrates sound judgment across design, operations, governance, and support considerations - Builds solid working partnerships across engineering, analytics, and business stakeholders - Influences outcomes through technical credibility, collaboration, and clear communication 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: - 6+ years of experience in data engineering or enterprise data platforms - Experience modernizing legacy ETL to cloud-based solutions - Experience with CI/CD pipelines and deployment automation - Experience with regulated or sensitive data environments - Experience using AI-assisted tooling or automation - Solid SQL-based transformation and data modeling experience - Solid production support and troubleshooting experience - Advanced expertise in Azure Data Factory (ADF) - Advanced expertise in Snowflake - Proven ability to independently lead complex technical initiatives Preferred Qualifications: - Experience supporting healthcare, claims, or other highly regulated data domains - Experience building reusable frameworks, accelerators, or shared engineering capabilities across teams - Familiarity with platform operating models, federated delivery models, or centralized engineering standards - Exposure to practical AI-enabled engineering workflows that improve development or operational efficiency *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 $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application 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. 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.

• Develop high-level technical solutions and present to customers (Hardware, Software, Licensing, Professional Services) • Collect business and technical requirements • Complete end-to-end, full lifecycle network designs • Drive whiteboard conversations • Craft customer facing presentations • Delivering technical presentations and product demonstrations • Generate hardware configurations (BoM) • Write statements of work (SoW) and develop Professional Service pricing utilizing Presidio tools • Build relationships with Account Executive/Extended Sales Teams • Maintain and develop technical and technology specific skill sets and certifications

• Design & Architect Solutions: Translate customer requirements into scalable, multi-vendor solutions aligned to business objectives. • Support Pre-Sales & Partner Success: Lead technical discussions around product capabilities, sizing, deployment, and integration. • Deliver Technical Expertise: Build and present compelling demos, proof-of-concepts, and custom use-case demonstrations. • Drive Collaboration & Innovation: Partner with internal teams, vendors, and solution centers to enhance offerings. • Troubleshoot & Escalate: Investigate complex technical issues and support escalations with hands-on analysis.

Join Us! Take the next step in your journey at Inspira Financial. Guided by our mission to enable better health and greater wealth, we help businesses and individuals thrive today, tomorrow, and into retirement by strengthening and simplifying the health and wealth journey. Our values shape how we show up every day. We Lead with Heart by acting with compassion, empathy, and doing what's right; Cultivate Trust through integrity, transparency, and accountability; Aim Higher by never settling for what's expected and continually raising the standard; and Win Together by collaborating inclusively to achieve the best outcomes. Join us on our journey as we work together to take on the complex and the everyday--turning collective effort into life-changing impact that enriches lives and helps build a better future. Learn more at inspirafinancial.com. We believe in finding the best talent! While some roles are based at one of our office locations, remote roles can sit in any of the following states: AL, AZ, FL, GA, IA, IL, IN, MI, MN, MO, NC, NE, PA, SC, TN, TX, UT, VA and WV. Remote status and role locations are subject to change. Relocation is not provided. Employees within a 90-minute radius of our Oak Brook, IL headquarters are required to adhere to the company in-office work guidelines of 4 days per month minimum from 10 am to 2 pm (1 of the 4 days must be a Monday or Friday). This requirement does not apply to support specialist positions. Don't meet every single requirement? That's okay. At Inspira Financial, we know growth comes from people who are willing to learn, challenge themselves, and aim higher. We value individuals who lead with heart, cultivate trust, and collaborate to win together. If you're energized by meaningful work, continuous development, and being part of a team that turns collective effort into real impact, Inspira Financial could be the right next step in your journey. We look forward to receiving your application. Inspira Financial provides health, wealth, retirement, and benefits solutions that strengthen and simplify the health and wealth journey. With more than 7 million clients, representing over $62 billion in assets, Inspira works with thousands of employers, plan sponsors, recordkeepers, TPAs, and other institutional partners -- helping the people they care about plan, save, and invest for a brighter future. Inspira relentlessly pursues better outcomes for all with our automatic rollover services, health savings accounts, emergency savings funds, custody services, and more. Learn more at inspirafinancial.com . We have been recognized for our remarkable growth on lists such as Crain's Fast 50 and Inc. 5000, and for our outstanding workplace culture and benefits with Built In's 2025 Best Places to Work and Gallagher's 2022 Best-In-Class Employer awards. Job Summary & Responsibilities The Director, AI Solutions Architect is a senior technical leader responsible for translating enterprise AI strategy into scalable, secure, and production-ready solutions. Reporting to the Senior Director, Software Engineering, this role serves as the connective tissue between strategy and execution-owning solution architecture, technical standards, and delivery excellence for AI-enabled products across the organization. This leader works side by side with Product, Design, Engineering, Security, and Platform teams to deliver AI-driven solutions that delight customers and accelerate time to value-while balancing feasibility, scalability, cost, and compliance. The Director sets architectural direction, coaches teams, and remains hands-on where it matters most, ensuring the organization applies AI responsibly and effectively to real business problems. You will guide engineering teams on when and how to apply AI capabilities-copilots, agents, and vendor integrations-while enforcing architectural guardrails and elevating engineering maturity. You translate vision into architecture, patterns, and working software that deliver measurable outcomes. You are equally comfortable influencing executives and diving into code with teams to unblock delivery. Key Responsibilities - Own end-to-end solution architecture for AI and AI-enabled products (discovery → design → deployment), ensuring security, reliability, cost efficiency, and maintainability across cloud and on-prem environments. - Serve as the architecture authority for GenAI and applied AI solutions, approving designs and ensuring alignment with enterprise standards set by the AI CoE. - Establish and evolve reference architectures and reusable patterns for GenAI and applied AI (RAG, agents/orchestration, vector search, prompt & tool design, event-driven microservices, API gateways). - Select fit-for-purpose models and services (e.g., Azure OpenAI, Bedrock, Vertex, OSS LLMs, embedding models), articulating clear tradeoffs across performance, latency, privacy, and cost. - Partner with product and platform teams to ship production-grade solutions, guiding teams from prototype → pilot → scaled production. - Define and enforce best practices for CI/CD, Infrastructure as Code, and MLOps/LLMOps, including model versioning, prompt/config management, evaluation frameworks, drift detection, and safety monitoring. - Ensure observability and operational readiness (tracing, guardrails, red-teaming, cost dashboards, SLOs, runbooks) before production cutover. - Review critical pull requests, architecture decisions, and platform changes to raise overall engineering quality. - Act as a technical leader and multiplier, coaching engineers and architects on responsible, pragmatic AI adoption. - Build and mentor a small group of senior architects and technical leads, helping grow the next generation of AI leaders. - Evangelize effective use of copilots, agent frameworks, and integration SDKs to improve developer velocity without compromising quality or security. - Raise the bar on engineering excellence through design reviews, threat modeling, coding standards, and documentation discipline. - Lead architecture discovery with business stakeholders: frame problems, quantify constraints, and translate business goals into technical roadmaps. - Define and track outcome-based KPIs (time to first value, cost to serve, task success, accuracy, CSAT/NPS, deflection). - Communicate architectural tradeoffs, risks, and roadmaps in clear, executive-ready language. - Publish and maintain architecture decision records (ADRs) and platform documentation to ensure Preferred Qualifications Education & Experience - Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or equivalent practical experience. - 10+ years in software engineering, solution architecture, or platform engineering, including 3-5+ years delivering applied ML/GenAI solutions in production. - Demonstrated experience leading architecture across multiple teams or products, not just contributing as an individual architect. - Extensive hands-on experience with cloud platforms (GCP preferred), including: - Vertex AI, BigQuery, Dataflow, Pub/Sub - Cloud-native microservices, APIs, event streaming - Containers and orchestration (Kubernetes/GKE) - Infrastructure as Code (Terraform) - Deep practical expertise with GenAI patterns: RAG, vector databases, prompt engineering & evaluation, agent design, function/tool calling, and orchestration. - Strong command of MLOps/LLMOps, including CI/CD for models and prompts, offline/online evaluation, telemetry, drift detection, and safety monitoring. Skills & Abilities - Experience operating in regulated industries (financial services, healthcare, public sector) or similarly high-trust environments. - Strong background in security, privacy, and compliance-by-design, including OAuth/OIDC, secrets management, data protection, and AI safety controls. - Proven ability to influence without authority, aligning product, engineering, security, and business stakeholders. - Exceptional written and verbal communication skills, with demonstrated executive presence. - Certifications (nice to have): Cloud Architect, Security (e.g., CISSP/CCSK), or equivalent. Other Requirements: - Ability to work occasional overtime. - Occasional travel (up to ~15%). - Occasional after-hours work to support releases or incident response. - Prolonged periods of sitting at a desk and working on a computer. Compensation & Benefits $190,000-$200,000 per year