Note: The job is a remote job and is open to candidates in USA. Alight Solutions is a global organization that helps clients build healthier and more financially secure workforces through benefits, wellbeing, and absence-management solutions. The AI Engineer will build and operate the AI engineering platform powering agentic assistants for millions of users, including agent patterns, retrieval pipelines, evaluation systems, cloud deployment automation, observability, governance, and developer tooling.
Responsibilities
- 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
Skills
- Python proficiency (3.10+). This is the primary language across the team
- Working knowledge of core AWS 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
- Expertise in one of the six: Data and retrieval engineering. Chunking, embeddings and vector search, RAG, hybrid search, reranking, retrieval evaluation
- Expertise in one of the six: Quality and evaluation. Agent eval frameworks (DeepEval, Ragas), CI/CD quality gates, groundedness and safety metrics, test automation for AI systems
- Expertise in one of the six: Platform and infrastructure. CI/CD, Terraform, container orchestration on AWS (ECS, Fargate), secrets and IAM, progressive deployment
- Expertise in one of the six: Observability and operations. OpenTelemetry tracing, dashboards and alerting, LLM cost and token tracking, feedback loops
- Expertise in one of the six: Developer experience. MCP servers, devcontainers, CLI and SDK tooling, prompt libraries, the docs and reference implementations others build on
Benefits
- Health, dental and vision coverages starting Day One
- Wellbeing programs
- Retirement plans with contribution matching
- Generous time off
- Parental leave
- Continuing education
- Career growth opportunities
- Flexible working arrangements wherever possible
- Bonus and/or incentive eligibility determined by role and level
- Continuing education & training
Company Overview