2 days ago
London, United KingdomStaff+
Responsibilities
- Lead end-to-end AWS transformation, migration, modernization, data, and AI solutioning for major UK and EMEA enterprise clients.
- Own AWS solution strategy, including architecture, technology choices, delivery models, commercials, transformation roadmaps, assumptions, and risks.
- Lead current-state assessments and define target AWS pathways across applications, infrastructure, VMware estates, data platforms, integration, security, and operations.
- Design AWS cloud foundations covering landing zones, networking, IAM, security, observability, resilience, and FinOps patterns.
- Define application migration and modernization patterns involving AWS Transform, Migration Hub, Application Migration Service, Database Migration Service, containers, serverless, managed databases, and platform automation.
- Design production-ready agentic AI solutions using Amazon Bedrock, AgentCore, Knowledge Bases, vector and RAG patterns, Amazon Q, SageMaker AI, model evaluation, and guardrails.
- Create estimates and commercial materials for assessment, migration, modernization, platform build, AI and agent build, transition, and run phases.
- Lead architects, subject matter experts, transition, delivery, security, and commercial specialists in solution-planning teams.
- Support AWS partner engagement involving funding, credits, MAP and modernization programs, Well-Architected Reviews, and lighthouse opportunities.
- Engage CIO, CTO, CDO, finance, operations, sales, account, AWS field, and delivery stakeholders as an AWS evangelist.
Requirements
- Strong experience architecting, solutioning, and selling AWS-centric enterprise transformation and migration solutions.
- Deep AWS architecture knowledge across landing zones, networking, IAM, security, compute, containers, serverless, storage, databases, observability, and operations.
- Experience with large application migration and modernization programs, including VMware, data-center exit, application portfolio assessment, and wave planning.
- Practical knowledge of AWS AI services, especially Amazon Bedrock, agent design, RAG and Knowledge Bases, guardrails, model evaluation, and production AI operating models.
- Ability to create business cases, delivery estimates, phased roadmaps, assumptions, risk positions, and value narratives.
- Strong consulting presence, communication, leadership, and stakeholder-management skills with senior technology, finance, and operations audiences.
- AWS Certified Solutions Architect Professional certification and/or specialty certifications in security, networking, data analytics, machine learning, or DevOps are preferred.
- Experience with AgentCore, AWS Transform, Kiro, DevOps and Security Agent concepts, Amazon Nova, SageMaker AI, or multi-agent collaboration patterns is preferred.
- Experience with public sector, defence, regulated financial services, sovereign cloud, or national infrastructure opportunities is preferred.
- Evidence of deal wins, reusable assets, AWS co-innovation, or delivery leadership across complex transformation programs is preferred.
Tech Stack
AWS.NET
Categories
Solutions Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.