Senior AWS Platform Engineer (AI Platform)

Sanderson

Greater London

Hybrid

GBP 66,000 - 111,000

Full time

5 days ago
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Job summary

Sanderson is seeking a Senior AWS Platform Engineer to shape a large-scale AI platform. You will own the AWS foundation, including multi-account architecture, landing zones, guardrails and hybrid networking, with a focus on secure, scalable platform capabilities.

Key areas include building AI/ML platform tooling on AWS Bedrock, strong IaC with Terraform, and modern CI/CD using Docker/Kubernetes, all while mentoring engineers and delivering production-grade cloud solutions in a regulated

Qualifications

  • Deep, hands-on AWS expertise at platform level with multi-account design.
  • Experience building AI/ML platform capability on AWS, Bedrock preferred.
  • Advanced IaC skills with Terraform; CloudFormation/CDK welcomed.
  • Strong scripting (Python, Bash) for automation and self-service tooling.
  • Proven CI/CD, containerisation and orchestration with code-managed Pipelines.
  • Cloud security, policy-as-code and governance in regulated settings.
  • Track record delivering scalable, cost-efficient AWS solutions in enterprises.
  • Mentoring engineers and raising performance standards.

Responsibilities

  • Design, build and evolve AWS platform foundations including multi-account architecture and guardrails.
  • Drive platform standards and golden paths to simplify service deployment.
  • Enable automation, reliability and cost optimisation; treat infrastructure as code.
  • Mentor engineers and align work across teams to deliver cloud-native AI solutions.
  • Take AI platform from foundation to production-grade with Bedrock tooling and observability.

Skills

AWS platform design
Landing zones
Multi-account architecture
Terraform
CloudFormation/CDK
Python
Bash
CI/CD engineering
Docker
Kubernetes / EKS
Bedrock / AI platform
SageMaker
Security governance
Policy as code
Mentoring engineers

Tools

Terraform
CloudFormation
CDK
Harness
ArgoCD
Spinnaker
GitLab
Docker
Kubernetes

Job description

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)
Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

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