Associate Solutions Architect Internship 2027

Amazon is hiring an Associate Solutions Architect Internship 2027 in London, United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Join Amazon Web Services (AWS) as an Associate Solutions Architect Intern and launch your career in cloud computing. Available to work full-time for either 3 or 6 months during 2027, you'll gain hands-on experience designing cloud and generative AI solutions, learning from experienced architects, and working on real AWS projects that impact millions of customers worldwide.

Amazon Web Services (AWS) is the world's leading cloud computing platform, helping millions of customers — from startups to global enterprises — build and run applications without managing physical servers. We're seeking motivated individuals for our Associate Solutions Architect Intern program, a structured learning experience designed to develop the next generation of Cloud Solutions Architects.

This internship serves as a pathway to our Solutions Architect Graduate Program, offering you the opportunity to build foundational knowledge in cloud computing, AWS services, and solutions architecture principles in a supportive, education-first environment. You'll learn to understand customer requirements, build working cloud and AI solutions, and communicate technical recommendations effectively while being mentored by experienced Solutions Architects.

Key job responsibilities
Complete a structured training curriculum to build cloud architecture foundations and develop expertise in AWS services
Analyze customer requirements and learn to translate them into technical solution recommendations
Participate in solution design sessions and observe customer engagements with experienced Solutions Architects
Work on a real AWS project, applying architecture principles and building hands-on experience with AWS services
Develop communication skills by learning to present technical concepts effectively to diverse audiences

A day in the life
As an Associate Solutions Architect Intern, you'll engage in a mix of structured learning and practical application. Your day might include attending training sessions on AWS services and the Well-Architected Framework, then applying those concepts to a real project you're building on AWS. You'll participate in solution design discussions, observing how experienced architects translate customer needs into technical recommendations. You might shadow customer engagements to see how solutions are presented to diverse audiences, then return to work on your own project, experimenting with AWS services and architecture principles. Throughout your internship, you'll develop presentation skills by communicating technical concepts to colleagues and mentors, receiving feedback that helps you grow as a solutions architect.

About the team
We are the EMEA Student Programs Team within AWS, dedicated to nurturing emerging talent in cloud computing. Our team collaborates across the organization to create meaningful internship experiences that bridge the gap between academic learning and real-world cloud architecture. We work with experienced Solutions Architects who are committed to mentoring the next generation of cloud professionals. Together, we're building a community of architects who understand how to solve complex business problems through innovative cloud solutions. When you join us, you'll be part of a team that values your growth, supports your learning journey, and helps you develop the skills needed to succeed in cloud consulting and solutions architecture.

Basic qualifications

- Speak, write, and read fluently in English at C1 level or above
- Currently enrolled in penultimate or final year of a Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, graduating in 2027 or 2028
- Experience with at least one modern programming language (such as Python, Java, C++, or JavaScript)
- Understanding of basic IT systems, software development, or system architecture concepts
- Right to work in the United Kingdom for the duration of the internship

Preferred qualifications

- Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience in a fast-paced, high-tech company
- Knowledge of networking fundamentals, including security, storage, or databases (relational and/or NoSQL)
- Understanding of operating systems (Unix, Linux, and/or Windows)
- Interest in or experience with generative AI, for example building with LLM APIs, agents or AI coding assistants
- Experience with systems administration (Linux/Windows), network administration (DNS, IPsec, BGP, VPN, load balancing), or programming (Node.JS, Java, Ruby, C#, Python, or PHP)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Associate Solutions Architect Internship 2027 at Amazon rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.