EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM in London

EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM in London

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of AI architectures and frameworks for enterprise decision-making.
  • Company: Join AWS, the world's leading cloud platform, known for innovation and inclusivity.
  • Benefits: Enjoy flexible work-life balance, mentorship, and career growth opportunities.
  • Other info: Diverse experiences welcomed; we value unique perspectives and backgrounds.
  • Why this job: Shape the future of AI in business and tackle complex challenges with autonomy.
  • Qualifications: 8+ years in tech domains and experience in cloud solutions required.

The predicted salary is between 72000 - 88000 £ per year.

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Are you passionate about revolutionizing how enterprises make decisions through the power of artificial intelligence? Do you envision a future where agentic AI transforms entire business operations across industries? Then come help us shape the future of enterprise decision-making at AWS.

As a Specialist Solutions Architect, you will be at the forefront of a fundamental reimagining of enterprise decision making and planning, targeting a rapidly expanding agentic AI market for supply chain. You will drive the architectural vision for solutions that span multiple domains across enterprise customer's planning and decisioning teams for Amazon Connect Decisions adoption. You will own the design and delivery of entire programs of customer solutions, creating new patterns and methodologies that become industry standards. Operating with autonomy and independence, you'll tackle significantly complex problems in emerging or novel areas, simplifying them into elegant solutions that become reference designs for the future!

Internally, you will be both the voice of the customer and a technical asset, working directly with AWS product teams to shape our roadmap, while also leading the creation of thought leadership content that defines how AWS communicates its technology to customers. Your influence will extend to company-wide impact, driving transformative solutions at scale.

Key job responsibilities

  • Lead the development of enterprise-wide agentic AI architectures and frameworks that span multiple domains
  • Collaborate with C-suite and VP-level stakeholders to shape both technical and business strategies
  • Design and validate reference architectures that become industry standards for applying AI in business process optimization
  • Drive clarity in ambiguous situations, leading large organizational or multi-country initiatives
  • Mentor and develop other Solutions Architects, contributing to the growth of technical excellence across AWS

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • Experience migrating or transforming legacy customer solutions to the cloud

Preferred qualification

  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Experience working with end user or developer communities

EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM in London employer: AmazonWebServices

At Amazon Web Services (AWS), we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Delivery Consultant (DevOps) in the UK, you'll have the opportunity to work closely with diverse clients, driving their cloud success while benefiting from extensive mentorship and professional growth opportunities. Our commitment to inclusion and employee empowerment ensures that every team member can thrive and contribute meaningfully to our mission of delivering cutting-edge cloud solutions.

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Contact Details:

AmazonWebServices Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM in London

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We think you need these skills to ace EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM in London

Architectural Design
Artificial Intelligence
Cloud Computing
Business Process Optimisation
Stakeholder Collaboration
Reference Architecture Development
Mentorship

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 AmazonWebServices.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AmazonWebServices 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 AmazonWebServices

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 AmazonWebServices 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

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