Principal AI Engineer
Posted Today by Fruition Group
Negotiable
Outside
Remote
England, United Kingdom
Summary: This role is for a Principal AI Engineer focused on designing and implementing an enterprise-grade AI platform using AWS technologies. The position involves leading architecture, establishing development standards, and optimizing AI workflows while collaborating with cross-functional teams. The engineer will work on a cutting-edge AI assistant product and influence its technical direction. This is a high-impact contract opportunity with a duration of 6 months, classified as outside IR35.
Key Responsibilities:
- Lead the architecture and implementation of a production-ready AI platform with AWS technologies including Lambda, Bedrock Knowledge Bases, and 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, deterministic vs agentic AI patterns, and execution environments.
- Collaborate closely with cross-functional teams to ensure scalable, secure, and maintainable AI solutions integrated into the broader SDLC.
- Optimise system performance, latency, and cost efficiency of AI-driven workflows.
Key Skills:
- 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.
- Experience collaborating across product, engineering, and data science teams to deliver scalable AI platforms.
- Strong problem-solving, communication, and stakeholder management skills.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Principal AI Engineer
Location: UK Remote
Contract: Outside IR35
Duration: 6 months
Why Apply? This is a high-impact, contract opportunity for a Principal AI Engineer to take the lead on designing and implementing an enterprise-grade AI platform. You will be working on a cutting-edge AI assistant product built on AWS technologies, providing the opportunity to shape architecture, enforce policy-driven development, and introduce best-in-class AI platform practices. This role offers exposure to modern LLM and RAG systems, cloud-native infrastructure, and the chance to influence the technical direction of an innovative AI product.
Responsibilities:
- Lead the architecture and implementation of a production-ready AI platform with AWS technologies including Lambda, Bedrock Knowledge Bases, and 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, deterministic vs agentic AI patterns, and execution environments.
- Collaborate closely with cross-functional teams to ensure scalable, secure, and maintainable AI solutions integrated into the broader SDLC.
- Optimise system performance, latency, and cost efficiency of AI-driven workflows.
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.
- Experience collaborating across product, engineering, and data science teams to deliver scalable AI platforms.
- Strong problem-solving, communication, and stakeholder management skills.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.