[Hiring] AI Platform Engineer @Alight

Role Description

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.

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.

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.

Qualifications

• 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 following areas:
• 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.

Requirements

• Background check consistent with Alight’s employment policies.
• Virtual interviews conducted on video; camera-on culture.
• Occasional travel to physical office locations may be required.

Benefits

• Comprehensive total rewards package.
• Health, dental, and vision coverages starting Day One.
• Wellbeing programs.
• Retirement plans with contribution matching.
• Generous time off and parental leave.
• Continuing education and career growth opportunities.
• Flexible working arrangements.

Company Description

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.

More than 30 million people rely on Alight for their health, their wealth, and their time away from work.