RIS AWS (Agentic AI) Solution Architect Senior Manager

Overview

In this role you will lead end-to-end AWS transformation initiatives for large UK/EMEA clients, shaping production-ready AWS-native and AI-enabled solutions. You will connect technical architecture to measurable business outcomes, collaborating with sales, delivery, and security teams to craft differentiated propositions. You guide cloud journeys from assessment to modernisation, including data, AI, and regulated enterprise considerations. You’ll work closely with executive stakeholders to drive value through scalable, compliant cloud solutions.

Responsibilities

• Own AWS solution strategy for large cloud opportunities, aligning architecture, delivery model, and commercials
• Lead current-state assessments across apps, infrastructure, and data platforms to define target AWS pathway
• Design cloud foundations (landing zone, network, IAM, security, observability, FinOps) for regulated enterprise use
• Define modernisation patterns using AWS Transform, Migration Hub, and related services
• Design production-ready AI/agentic solutions (Bedrock, AgentCore, RAG, guardrails, SageMaker)
• Create estimates for assessment, migration, modernisation, platform build, AI/agent build, and run
• Lead solution-planning teams including architects, SMEs, transition, delivery, security and commercial specialists
• Support partner engagement with AWS (funding, credits, MAP, well-architected reviews, lighthouse opportunities)

Key requirements

• Strong record architecting, solutioning and selling AWS-centric transformation for enterprise clients
• Deep AWS architecture skills across landing zones, networking, IAM, security, compute, containers, serverless, storage, databases, observability, and operations
• Experience with large application migration and modernisation programs (VMware, data-centre exit, portfolio assessment, wave planning)
• Practical knowledge of AWS AI services, especially Bedrock, agent design, RAG/Knowledge Bases, guardrails, model evaluation, and production AI operating models
• Ability to create commercial solutions: business case, delivery estimates, phased roadmap, assumptions, risks, and value narrative
• Strong consulting presence, communication and leadership with CIO/CTO/CDO, finance and operations stakeholders

• Stakeholder management
• Executive communication
• Leadership
• AWS architecture (landing zones, networking, IAM, security, compute, containers, serverless, storage, databases)
• Observability and operations
• VMware and data-centre exit experience

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