Position Details
About this role
AECOM is hiring a Principal AI Engineer to build production-grade AI systems that integrate into real business workflows. The role combines AI (LLMs, RAG, agents) with distributed systems and backend engineering, with ownership of reliability, latency, and cost in production.
Key Responsibilities
- Design and build production AI systems end-to-end
- Own system architecture and implementation for scalability and reliability
- Integrate LLMs, RAG, and agents into real workflows
- Build services, APIs, and event-driven systems connecting AI to enterprise platforms
- Establish observability, evaluation, and feedback loops; debug production issues
Technical Overview
This is an end-to-end AI engineering role focused on designing and building scalable, reliable AI-enabled services and APIs using event-driven systems. You will implement observability, evaluation, and feedback loops and debug issues across data, models, infrastructure, and application layers.
Ideal Candidate
The ideal candidate is a hands-on Principal-level AI engineer with 10+ years of software engineering experience, including building and operating production systems where AI/LLMs are a core component. They have strong backend and distributed systems expertise and can design AI-enabled solutions (LLMs, RAG, agents) with robust reliability, latency, cost, and failure-handling practices.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have Bachelor's Degree plus at least 10 years of software engineering experience, Must have proven track record of building and operating production software systems with AI/LLMs as a core component, Must have experience with RAG or agent-based systems in real applications
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