Jobs at Alight Solutions

Lead end-to-end engineering for Alight's client-facing platforms across multiple product lines, driving platform-first architecture, modernization, reuse, security, and AI integration. Align product, delivery, data/AI, and infrastructure teams to ensure scalable, reliable, and cost-efficient solutions that improve client outcomes and accelerate product delivery.

Lead end-to-end product design for AI-enabled web and mobile experiences. Create scalable frameworks, wireframes, prototypes, and production-ready UI while governing design systems and accessibility standards. Partner with Product, Engineering, Research, Content, and Enablement teams to shape strategy, validate solutions, and ensure technical feasibility. Use AI tools with human oversight, mentor designers, lead critiques, and establish quality standards for intuitive, consistent, and inclusive experiences.

Lead AI-focused security and controls by defining AI-specific risk standards, guiding secure design and deployment, supporting vendor/model risk assessments, and partnering across engineering, privacy, and security to implement and monitor controls across the AI lifecycle.

Lead Alight's enterprise AI strategy, platform, and teams to scale generative AI, agentic systems, and intelligent automation across products and operations. Own AI platform development, evaluation, governance, deployment, and measurable production outcomes while recruiting and developing senior technical leaders and partnering with risk, compliance, product, and commercial stakeholders.

Manage ADA and Leave of Absence cases end-to-end, ensure compliance with FMLA/ADA/state laws, review medical documentation, coordinate accommodations and overlapping benefits, communicate with stakeholders, maintain accurate case records, and meet quality and performance standards.

Define and maintain enterprise AI governance policies, standards, and controls; translate regulatory frameworks into enforceable requirements; document controls and evidence for audit readiness; partner with engineering, privacy, security, and legal to embed controls into the SDLC; support client inquiries, RFPs, and remediation tracking to ensure compliant, auditable AI deployments.

The Azure DevOps Engineer will design, build, and scale cloud infrastructure, automate deployments, enhance CI/CD capabilities, and ensure compliance and security for healthcare applications.