Software Engineer
Lead AI and automation initiatives at Alignment Health, driving innovative solutions to improve senior care. Oversee end-to-end ML pipelines, cloud infrastructure on AWS, and automation of clinical workflows to enhance patient outcomes and operational efficiency.
Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first.We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
Job Duties / Responsibilities
Set AI & automation strategy aligned to Medicare Advantage priorities. Define andmaintaina multi-year AI and automation roadmap that supports strategic goals in Stars, risk adjustment, payment accuracy, prior authorization, clinical quality, and member experience. Partner with C-suite and senior leaders toidentifyand prioritize high-ROI use cases where AI and intelligent automation create durable competitiveadvantage.
Lead and develop a high-performing AI & Automation Engineering team. Build, lead, andretaina diverse team of AI/ML engineers, automation engineers, and related roles, setting clear goals, expectations, and development plans. Foster a culture of talent density, accountability, and continuous learning — using data-driven performance management and succession planning to grow future technical leaders.
Drive enterprise-scale intelligent automation. Lead the design and implementation of enterprise-grade automation solutions — including RPA, workflow orchestration, and process intelligence — across functions such as Claims, UM, Provider Operations, and Member Services. Establish standards and governance for automation development, documentation, and change management to ensure scalability and maintainability.
Establish platforms, tooling, and engineering best practices. Own theselectionand adoption of AI/ML platforms, cloud services (AWS/Azure/GCP), and automation tools (e.g., UiPath, Power Automate), ensuring they integrate with DTS data platforms and security controls. Define and enforce engineering best practices — CI/CD,MLOps, testing, observability, and documentation — that raise the bar for reliability and time-to-value across all AI and automation initiatives.
Partner cross-functionally to deliver measurable business impact. Collaborate with Product, Data Engineering, Clinical Operations, Finance, Compliance, and Security to translate business requirements into technical solutions and track realized value (e.g., cycle time reduction, accuracy improvement, cost-to-serve). Regularly communicate AI and automation strategy, progress, and ROI to senior executives and governance bodies.
Embed responsible AI and regulatory compliance. Work with Legal, Compliance, and Privacy to ensure all AI and automation solutions
Posted June 20, 2026