At a Glance
- Tasks: Lead AWS transformations and architect innovative AI solutions for major clients.
- Company: Dynamic tech firm focused on cutting-edge cloud solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to work with industry leaders.
- Why this job: Shape the future of AI and cloud technology while making a real impact.
- Qualifications: Strong AWS architecture skills and experience in enterprise transformation projects.
The predicted salary is between 72000 - 88000 £ per year.
Lead end-to-end solutioning for AWS transformation, migration, modernisation, data and AI opportunities across major UK and EMEA clients. Shape AWS-native agentic AI solutions that move clients from proof of concept to production, using Amazon Bedrock, AgentCore, agents, RAG, guardrails, orchestration, observability and operational controls. Architect complex cloud journeys including VMware/data-centre exit, mainframe and .NET modernisation, SAP on AWS, data lakes, analytics, platform engineering, security and managed run. Develop commercially credible business cases, proposal narratives, estimates, delivery models, assumptions and risk positions. Collaborate closely with sales, account teams, AWS field teams, delivery, security, data/AI and industry SMEs to build differentiated propositions. Act as an AWS evangelist with C-suite and senior technology stakeholders, connecting technical architecture to measurable business outcomes.
Main Responsibilities:
- Own AWS solution strategy for large cloud opportunities, ensuring architecture, technology choices, delivery model, commercials and transformation roadmap are coherent.
- Lead current-state assessments across applications, infrastructure, VMware estates, data platforms, integration, security and operations to define the target AWS pathway.
- Design AWS cloud foundations using landing zone, network, IAM, security, observability, resilience and FinOps patterns appropriate for regulated enterprise use.
- Define modernisation patterns using AWS Transform, Migration Hub, Application Migration Service, AWS Database Migration Service, containers, serverless, managed databases and platform automation.
- Design production-ready AI/agentic solutions using Amazon Bedrock, AgentCore services, Knowledge Bases, vector/RAG patterns, Amazon Q/Quick where applicable, SageMaker AI, model evaluation and guardrails.
- Create estimates for assessment, migration, modernisation, platform build, AI/agent build, transition and run.
- Lead solution-planning teams including architects, SMEs, transition, delivery, security and commercial specialists.
- Support partner engagement with AWS, including funding, credits, MAP/modernisation programs, well-architected reviews and lighthouse opportunities.
Here's What You Need:
- Strong record in architecting, solutioning and selling AWS-centric transformation and migration solutions 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, including VMware, data-centre exit, application portfolio assessment and wave planning.
- Practical knowledge of AWS AI services, especially Amazon Bedrock, agent design, RAG/Knowledge Bases, guardrails, model evaluation and production AI operating models.
- Ability to create commercial solutions: business case, delivery estimate, phased roadmap, assumptions, risks and value narrative.
- Strong consulting presence, communication and leadership skills; comfortable working with CIO/CTO/CDO, finance and operations stakeholders.
Bonus Points If You Have:
- AWS Certified Solutions Architect Professional and/or Specialty certifications in security, networking, data analytics, machine learning or DevOps.
- Experience with AgentCore, AWS Transform, Kiro, DevOps/Security Agent concepts, Amazon Nova, SageMaker AI or multi-agent collaboration patterns.
- Experience shaping public sector, defence, regulated financial services, sovereign cloud or national infrastructure opportunities.
- Evidence of deal wins, reusable assets, co-innovation with AWS or delivery leadership across complex transformation programs.
RIS AWS (Agentic AI) Solution Architect Associate Director employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land RIS AWS (Agentic AI) Solution Architect Associate Director
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Accenture or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Accenture.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Accenture.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Accenture that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace RIS AWS (Agentic AI) Solution Architect Associate Director
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Accenture.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Accenture
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Accenture uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
