Senior AWS Platform Engineer (AI Platform)

• Design, build and evolve our AWS platform foundations - multi-account architecture, landing zones, Organizations/Control Tower, guardrails, networking and identity
• Drive platform design and engineering standards, and embed golden paths that simplify and standardise how we build and run services
• Enable automation, reliability and cost optimisation at scale - treating infrastructure, pipelines and policy as code
• Mentor and support engineers, influence technical direction, and work across teams to deliver cloud-native solutions aligned to our clients goals
• Take our AI platform capability from early foundations to a production-grade, self-service platform: Amazon Bedrock and the surrounding tooling (model access and routing, guardrails, knowledge bases/RAG patterns, agentic workflows), with the observability, cost controls and security posture required to run it in a regulated environment (AI Experience not essential but highly beneficial)

• Deep, hands-on AWS expertise at platform level. You’ve designed and built landing zones and multi-account environments from the ground up - account vending, SCPs, IAM/identity federation, VPC and hybrid networking, centralised logging, and guardrails - not just consumed them. For example, this role may not be suitable for someone whose AWS experience is shipping Lambdas into an account someone else built.

• (Highly Desirable) You’ve built AI/ML platform capability on AWS yourself. Bedrock in particular - model access, guardrails, knowledge bases, agentic patterns - plus the surrounding tooling (SageMaker, vector stores, evaluation and observability).

• Expert-level Infrastructure as Code (Terraform strongly preferred; CloudFormation/CDK welcome) and strong scripting (Python, Bash) for complex automation and self-service tooling

• Strong CI/CD, containerisation and orchestration - Harness (or equivalent enterprise CD tooling such as ArgoCD, Spinnaker, GitLab), Docker, and Kubernetes/EKS, with pipelines and deployment policy managed as code

• Deep cloud security and governance knowledge - identity management, policy-as-code, and compliance standards (ISO, SOC, GDPR) in a regulated setting

• Proven track record designing scalable, resilient, cost-efficient AWS solutions in complex enterprise environments

• Strong analytical and decision-making skills, and the ability to explain technical concepts clearly to technical and non-technical stakeholders

• Experience mentoring engineers and raising the bar around you

Our client is a FTSE100 Investment Management firm, we are seeking a AWS Platform Engineer to support on a £ multi-million greenfield AI platform build out with the long-term goal of DevOps automation.