Engineer Agentic AI - Virtual

Alight is a company that champions people and promotes growth with purpose. They are seeking an Engineer to design and build agentic AI solutions, leading a team to tackle complex problems and ensuring secure, scalable systems using Java and Python on AWS cloud services.

Responsibilities:

• Owning end‑to‑end technical outcomes: architecture, design, implementation, and production support
• Partnering with Product to translate business requirements into technical roadmaps; lead backlog refinement, estimation, and sprint planning
• Designing agentic AI systems: multi‑agent orchestration, tool‑use, retrieval (RAG), planning, and self‑evaluation loops
• Defining and implementing AI agentic standards and guardrails for safety, compliance, and ethical use, including policy enforcement and observability
• Integrating agents with APIs, event streams, and data platforms; measure outcomes against product KPIs
• Defining and evolve service architectures with strong non‑functional qualities (performance, scalability, security)
• Collaborating with Architecture on standards, cross‑team integrations, and technology governance
• Implementing CI/CD automation, Infrastructure as Code, and GitOps workflows; champion release engineering best practices
• Implementing production observability (APM/logging/metrics/tracing), define/publish SLOs & SLAs, and use data to improve reliability and performance

Requirements:

• 5+ years' development experience
• AWS expertise: designing and deploying cloud‑native solutions using AWS services (EC2, Lambda, S3, RDS, IAM) and AWS Bedrock Agents for generative AI and agentic workflows
• Proven experience building microservices/APIs and delivering high‑scale systems
• Applied DevOps/SRE skills: CI/CD, infrastructure as code, GitOps, and production observability
• Demonstrated ability to collaborate with Architecture and Product and to lead engineers through ambiguity and complex problem‑solving
• Core values: Demonstrates Curiosity (continuous learning, exploring new technologies) and Persistence (driving solutions through challenges and ambiguity)
• Experience with agent frameworks (orchestration, tool‑use), LLMs, vector databases, and retrieval pipelines (RAG)
• Hands‑on with Kubernetes/ECS, Terraform/CloudFormation, Jenkins/GitHub Actions, and APM/logging tools
• Secure software design (OAuth/OIDC, secrets mgmt), performance profiling/tuning, and cost‑aware architectural decisions
• Agile delivery at scale; comfort leading estimation and backlog processes with Product counterparts