AI Engineer- Virtual

Our Story At Alight, we believe a company's success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and promise that our clients expect. We are passionate about connecting purpose with impact. Alight empowers clients to build a healthier and more financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, navigation, and absence management. Our Benefits With a comprehensive total rewards package, Alight offers programs and plans that support your mind, body, wallet, and life. Benefits include health, dental and vision coverages starting Day One. Additionally, Alight colleagues enjoy wellbeing programs, retirement plans with contribution matching, generous time off, parental leave, continuing education, and career growth opportunities – all within a thriving global organization. Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and "Top 100 Company for Remote Jobs" 6 years in a row. Great Place to Work Thanks to the work of every colleague, Alight has received multiple awards of recognition including "Great Place to Work" for the past 7 years and Fortune's "Best Companies to Work For." To learn more about our company culture and awards Click Here. We invite you to join our team! Learn more at careers.alight.com . More than 30 million people rely on Alight for their health, their wealth, and their time away from work. We are building AI that meets them in those moments, agentic assistants that answer real questions and carry out transactions on a participant's behalf, and it runs in production today. The platform this team builds is what makes those experiences fast, reliable, and safe at scale. This is hands-on engineering with a direct line to millions of users, and we are hiring builders at every level to take it further. We build the AI engineering platform that powers AI delivery across Alight. We own the developer lifecycle, deployment infrastructure, observability, quality automation, document ingestion pipelines, and reusable agent patterns, so delivery teams solve business problems instead of reinventing infrastructure. Key Responsibilities & What You'll Build The agent patterns, retrieval, and guardrails behind the agentic assistants that answer participant questions and carry out transactions on their behalf An MCP server that serves a skills registry to AI coding agents right in the IDE Reusable agent patterns in LangGraph: multi-agent orchestration, memory, tool-use safety, and guardrails An agent evaluation platform (DeepEval, Ragas) with quality gates that block a bad deployment in CI/CD Document ingestion and retrieval pipelines: chunking, embedding, vector search, reranking, and citations CI/CD and deployment automation for AI agents on AWS (ECS, Fargate, Agent Core) AI-enabled devcontainers with tooling, validation, and testing built in OpenTelemetry instrumentation, dashboards, and LLM cost and token tracking for production workloads Governance controls turned into pipeline checks, with evidence collected automatically Semantic caching, rate limiting, and graceful degradation for agent workloads under load Reference implementations, SDK and CLI tooling, and the docs other engineers build on Requirements Python. proficiency (3.10+). This is the primary language across the team. AWS. Working knowledge of core services (IAM, ECS/Fargate, networking) and comfort in cloud-native environments. Software engineering discipline. Version control (Git/GitHub), code review, testing, documentation, and clean code. Security awareness. You build things that handle sensitive data, and you think about secrets, permissions, and data protection by default. Expertise in one of the six: AI agent development. LangGraph or similar, multi-agent orchestration, memory, tool use, guardrails, prompt and workflow design. Data and retrieval engineering. Chunking, embeddings and vector search, RAG, hybrid search, reranking, retrieval evaluation. Quality and evaluation. Agent eval frameworks (DeepEval, Ragas), CI/CD quality gates, groundedness and safety metrics, test automation for AI systems. Platform and infrastructure. CI/CD, Terraform, container orchestration on AWS (ECS, Fargate), secrets and IAM, progressive deployment. Observability and operations. OpenTelemetry tracing, dashboards and alerting, LLM cost and token tracking, feedback loops. Developer experience. MCP servers, devcontainers, CLI and SDK tooling, prompt libraries, the docs and reference implementations others build on. Application and Interview By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent w