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About the Role

We are seeking an experienced Senior Solutions Architect to lead on AI and GenAI engagements, contributing to broader AWS delivery including migration, modernisation, Landing Zone, and cloud governance. You will own the client-facing pre-sales cycle for AI/GenAI work, design solutions on Amazon Bedrock and SageMaker, estimate effort, write Statements of Work, and provide strategic advisory. The role also involves acting as a fractional CTO or technical programme lead for strategic accounts and hands-on delivery where capacity allows.

Responsibilities

Design AI/GenAI solutions on AWS (Amazon Bedrock, Bedrock Agents, Amazon Q, SageMaker, associated serverless and data services) and produce architecture documentation.
Scope and design broader AWS solutions including migrations, Landing Zones, modernisation and cloud governance engagements.
Run technical scoping calls with customers, translate business requirements into technical solutions, and produce accurate effort estimates.
Author Statements of Work to Cloud Bridge quality standards.
Navigate AWS partner funding programmes to maximise funded engagement value.
Act as fractional CTO or technical programme lead for strategic accounts, maintaining advisory relationships and identifying upsell/cross-sell opportunities.
Set technical direction for delivery engineers, reviewing architecture decisions and ensuring SOW deliverables are met.

Requirements

Demonstrable experience designing and delivering AWS solutions in a consultancy, Professional Services or partner environment.
Strong working knowledge of Amazon Bedrock (Agents, Knowledge Bases, Guardrails, model selection) and Amazon SageMaker (training, inference, pipelines).
Experience with agentic AI patterns – tool use, retrieval-augmented generation, evaluation methodology and production deployment considerations.
Solid grounding in core AWS services (compute, networking, storage, security, identity, serverless).
Proven ability to author detailed, commercially sound Statements of Work – scoping, estimating, structuring deliverables and managing assumptions/risks.
Confident in customer-facing environments – comfortable running discovery sessions, presenting architectures and advising C-level stakeholders.

Skills

AI/GenAI
AWS
Amazon Bedrock
Amazon SageMaker
Amazon Q
Serverless
Data Services
Migrations
Landing Zones
Cloud Governance
Pre-sales
Solution Design
Statement of Work Authoring
AWS Partner Funding Programmes
Fractional CTO
Technical Programme Lead
Agentic AI Patterns
Retrieval-Augmented Generation
Infrastructure as Code (Terraform preferred, or CloudFormation/CDK)
AWS Migration Programmes (MGN, wave-based migrations, estate separation)
AWS Landing Zone design
Multi-account governance
Control Tower
FinOps
Regulated Industries
AWS Certifications (ML Specialty, Solutions Architect Professional, or equivalent)
Consultancy Practice Growth

Location

UK Based

Work Type

Fully Remote
Permanent

Experience Level

Senior

Education Level

AWS certifications – ML Specialty, Solutions Architect Professional, or equivalent.

About the Company

Cloud Bridge is one of the fastest-growing AWS Premier Partners in the UK & EMEA, named AWS Rising Star Partner of the Year (EMEA 2023, UK&I 2022).
We specialise in cloud consultancy, migration, managed services, cloud governance, FinOps and AI/ML, helping organisations unlock the full value of AWS.
We are expanding globally with offices across the UK, Australia, South Africa, Singapore, Dubai and the Philippines.