Principal AI Engineer (AI)

TL;DR

Principal AI Engineer (AI): Leading the design and implementation of an enterprise-grade AI platform built on AWS technologies with an accent on architecture, policy-driven development, and best-in-class AI platform practices. Focus on shaping LLM and RAG systems, cloud-native infrastructure, and influencing the technical direction of innovative AI products.

Location: Remote (UK)

Salary: Negotiable

What you will do

• Lead the architecture and implementation of a production-ready AI platform using AWS technologies (Lambda, Bedrock Knowledge Bases, OpenSearch).
• Establish policy-driven development standards, guardrails, and vendor-neutral approaches across AI systems.
• Design and implement LLM gateway and multi-component orchestration patterns.
• Introduce comprehensive logging, monitoring, and audit trails for AI workloads, including S3-based data tracking.
• Define and enforce best practices for state management, prompt injection protection, and deterministic vs. agentic AI patterns.
• Collaborate with cross-functional teams to ensure scalable, secure, and maintainable AI solutions integrated into the broader SDLC.

Requirements

• Extensive experience as an AI Engineer, AI Architect, or equivalent role.
• Strong hands-on experience with AWS services including Lambda, API Gateway, Bedrock, OpenSearch, S3, ECS/Fargate, and Terraform/CDK.
• Proven experience with LLM platforms, RAG pipelines, and agentic AI or multi-agent architectures.
• Demonstrable track record in implementing AI governance, compliance, and policy-driven development practices.
• Skilled in system observability, monitoring, and logging for AI workloads.
• Proficient in Python, cloud-native development, CI/CD pipelines, and infrastructure-as-code.

Culture & Benefits

• High-impact contract opportunity for 6 months.
• Opportunity to shape architecture and influence technical direction.
• Exposure to modern LLM and RAG systems.
• Collaborative environment with cross-functional teams.