RIS AWS (Agentic AI) Solution Architect Associate Director

Overview

In this role, you will lead end-to-end AWS transformation for large enterprise clients across UK and EMEA, shaping production-ready, AI-infused solutions. You’ll connect technical architecture to measurable business outcomes, collaborating with sales, delivery, and security teams to craft differentiated propositions. You drive cloud modernization journeys—from VMware exits to data, AI, and platform automation—while fostering executive-level engagement and governance. This is a hands-on leadership role with impact across strategy, design, and delivery.

Responsibilities

• Own AWS solution strategy for large cloud opportunities, ensuring coherent architecture, technology choices, delivery model, and transformation roadmap
• Lead current-state assessments of applications, infrastructure, VMware estates, data platforms, and security to define the target AWS pathway
• Design AWS cloud foundations (landing zone, network, IAM, security, observability, FinOps) for regulated enterprises
• Define modernization patterns using AWS tools (Transform, Migration Hub, DMS, App Migration Service) and modern technologies (containers, serverless, managed databases)
• Design production-ready AI/agentic solutions using Bedrock, AgentCore, KBs, RAG, Q/Quick, SageMaker, and guardrails
• Create estimates for assessment, migration, modernization, platform build, AI/agent build, transition and run
• Lead solution-planning teams across architects, SMEs, transition, delivery, security and commercial specialists
• Support partner engagement with AWS (funding, credits, MAP, Well-Architected reviews, lighthouse opportunities)

Key requirements

• Strong track 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, operations
• Experience with large migration and modernization 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, production AI operating models
• Ability to create commercial solutions (business case, delivery estimate, phased roadmap, assumptions, risks, value narrative)
• Strong consulting presence and leadership; comfortable with CIO/CTO/CDO, finance, and operations stakeholders

• Excellent communication and stakeholder management
• Leadership and team coordination
• C-suite engagement and executive storytelling
• Landing zones, networking, IAM, security, compute, containers, serverless, storage, databases, observability, FinOps
• AWS AI services: Amazon Bedrock, SageMaker, agent design, RAG, guardrails
• Knowledge of VMware, data-centre exit, Application Migration Service, Database Migration Service

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