Senior AWS Platform Engineer (AI Platform)

Outside IR35 Contract: Senior AWS Platform Engineer (AI Platform)

Day Rate: Up to £600 Outside IR35 Location / Arrangement: Up to 3 Days per Week in office - either Bristol or London office Duration: 6 Months with the intention to further extend - long term greenfield programme

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.

As a Senior Platform Engineer, you'll own the foundations our engineering teams build on. This is a deep AWS role, you'll be shaping the multi-account estate itself, not just deploying workloads into it and a growing part of it is building the platform capability that lets teams ship AI-enabled products safely and at scale.

About you:

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

What you'll do:

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)