Sr Principal Software Engineer

Senior Principal Software Engineer — AI Healthcare Platform Location: Remote (US) Openings: 5 About The Company We are one of the nation's leading healthcare companies, committed to improving health outcomes and making care more accessible, affordable, and convenient for the millions of people we serve. Our work spans pharmacy, health services, and insurance solutions, all united by a shared mission to help people on their path to better health. Our core values emphasize innovation, collaboration, and a people-first approach, fostering an inclusive and supportive workplace for all employees. Job Summary We're rebuilding one of the most important systems in American healthcare — from the inside, with startup speed and enterprise scale behind it. Our organization is building a next-generation benefit management platform from the ground up, with AI embedded as a core architectural capability rather than added as a bolt-on. This high-priority initiative has board and executive sponsorship, and we're hiring the team's first engineers. There is no legacy codebase to inherit and no lengthy approval chain — just a small group with meaningful autonomy, moving quickly on work that matters. As the Senior Principal Software Engineer, you will own the technical architecture and long-term platform strategy, define how AI capabilities are embedded into workflows, and serve as the senior technical authority for the platform's most complex engineering challenges. The problem space is broad, the stakes are high, and the foundations established now will shape how this business operates for the next decade. Key Responsibilities Architecture & Roadmap Ownership: Own the technical architecture and roadmap for the AI healthcare platform, including claims processing, eligibility, formulary and pricing engines, prior authorization, rebate management, and related systems.AI Strategy: Define the AI strategy and platform capabilities that determine where and how AI augments or automates PBM workflows.Engineering Standards: Establish engineering standards and architectural guardrails for system design, data modeling, API contracts, security, and compliance.Technical Escalation: Serve as the senior technical escalation point for complex, cross-cutting challenges, including scalability bottlenecks, data consistency, and production AI/ML integration.Cross-functional Partnership: Partner directly with senior leaders across product, clinical, compliance, and AI governance to align technical direction with business strategy and regulatory requirements.Prototyping & De-risking: Prototype critical AI integrations, de-risk novel architectural decisions, and validate designs before they scale across the organization. Requirements Education: Bachelor's or Master's degree in Computer Science or a related field. Experience 12+ years of software engineering experience, including significant experience designing and scaling complex distributed systems at an enterprise or organization-wide level.7+ years applying advanced problem-solving and decision-making skills to translate complex business requirements into technical solutions.5+ years of experience in platform engineering, infrastructure, or distributed systems.2+ years of experience with AI/ML systems, including LLM integration or AI platform development.Proven experience building enterprise-scale platforms from the ground up to support high-volume workloads. Skills Strong expertise in backend system design, distributed systems, high-throughput data pipelines, and modern cloud infrastructure. Other Has built something from the ground up — at a startup, on a 0-to-1 team, or through an internal skunkworks initiative — and enjoyed the challenge.Thinks in systems and architecture, not just individual tickets.Has worked in complex, high-stakes, high-volume data environments and remained effective under pressure.Wants to own difficult technical decisions rather than have them handed down.Exercises sound judgment and discretion when working on confidential, high-priority initiatives.Communicates clearly and can influence decisions at the executive level.Remains hands-on where their expertise matters most. Preferred Qualifications Direct experience in healthcare, insurance, PBM, or another highly regulated industry; experience with PBM systems, pharmacy claims standards such as NCPDP, or claims adjudication is a significant advantage.Experience architecting claims adjudication or healthcare payments platforms from the ground up.Experience building enterprise LLM gateways or multi-agent orchestration systems. Benefits Competitive, market-aligned compensation package with strong long-term career growth opportunities.Comprehensive healthcare and wellness benefits.Flexible and collaborative work environment with remote flexibility.Opportunity to work on innovative healthcare analytics and AI initiatives using modern technologies and cloud platforms.Inclusive and mission-driven culture with exposure to high-impact healthcare innovation projects.Cross-functional collaboration with analytics, product, clinical, and technology leadership teams.Ongoing professional development and learning opportunities.