Cloud engineering

AI on AWS

Run your AI and ML workloads on AWS, from Bedrock and SageMaker to the MLOps pipelines and model-deployment infrastructure that keep them in production, with cost and governance built in.

Length Bedrock · SageMaker

Tier MLOps pipelines

Stack Cost and governance

What running AI on AWS includes

Your AI and ML workloads deployed and operated on AWS, delivered as running infrastructure, not a slide deck.

01 Model deployment and serving infrastructure on AWS

02 Amazon Bedrock and SageMaker for training, tuning, and inference

03 MLOps pipelines for build, deploy, evaluation, and monitoring

04 Feature stores, model registries, and versioned, controlled rollouts

05 Autoscaling and cost governance for GPU and inference workloads

06 Security, IAM, and guardrails for AI workloads across the estate

Built for teams running AI and ML workloads on AWS

Who it is for ML platform leads, heads of data, and engineering leaders on AWS

Engagement Scoped to the workloads and pipelines in play

Where it fits A cloud engineering track for teams standardizing their AI and ML workloads on AWS. This is where the AI work meets deep AWS infrastructure.

As an AWS partner, we run AI and ML workloads on Bedrock, SageMaker, and infrastructure built to hold up in production, with cost and governance in from day one, not bolted on after launch.

Cloud services · proven delivery

Where this usually sits in a wider engagement.

Cloud migration and modernization Get the estate onto AWS before the AI workloads land See the pillar Cloud security and compliance Harden and govern the AI workloads once they run See the pillar

Have a workflow in mind already?

Bring it to the readiness assessment. Two weeks, fixed scope, and it ends with the use case costed rather than admired.

You leave with a costed plan you can act on, whether or not you build it with us.

What you leave with

A prioritised list of AI use cases, scored on value and effortA costed plan for the top one, with a delivery dateThe architecture it would need, on the stack you already runAn honest read on what is not worth doing yet Book an assessment No pricing games. We scope it on the call.