Partner Solutions Architect, Next Gen Dev, AWS Partner Field EMEA in London

Partner Solutions Architect, Next Gen Dev, AWS Partner Field EMEA in London

London Full-Time 63900 - 78100 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Enable partners to create innovative solutions that enhance customer experiences and productivity.
  • Company: Join a leading tech giant, Amazon, known for its inclusive and diverse culture.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with travel opportunities across EMEA and a chance to shape the future of technology.
  • Why this job: Be at the forefront of AI-driven development and make a real impact in the tech industry.
  • Qualifications: Technical background in software development and strong communication skills are essential.

The predicted salary is between 63900 - 78100 £ per year.

Are you passionate about enabling partners to build differentiated solutions that transform customer experience and workforce productivity? As a Partner Solutions Architect focused on Amazon Connect and Amazon Quick, you will work with AWS Consulting and Technology Partners to help them develop, architect, and bring to market solutions built on these services. You will provide technical guidance, develop enablement content, and support go-to-market motions that drive partner-originated business and deliver value to end customers across EMEA.

Key job responsibilities

  • Support Partner go-to-market motions by providing technical guidance and support, thought leadership on AI-assisted development, code modernization, and developer productivity.
  • Enable AWS Partners and internal AWS teams on the adoption and usage of AI-Driven Development Lifecycle (AI-DLC) methodologies and AI-native IDEs, covering positioning, workshop delivery, and customer engagement across the full lifecycle.
  • Create best practices and architectural guidance on Next-Generation Software Development, being a thought leader in the area. Be the technical reference on Next-Gen Development for the EMEA Partner Organization, collecting and exposing all the work done across EMEA.
  • Collaborate with AWS account teams, professional services, and commercial sales to bridge partner capabilities with customer demand for NextGen Development.
  • Build prototypes and proof-of-concept solutions that demonstrate AI-DLC methodology in practice — showing how AI handles routine development tasks while teams focus on real-time problem solving and creative thinking.
  • Represent partner needs to AWS service teams (Kiro, AI-DLC program), influencing roadmaps and advocating for features that accelerate partner adoption.
  • Contribute to the Partner Solutions Architecture community through knowledge sharing, mentoring, and hiring.

A day in the life

Your days will be varied. You might start by running an AI-DLC workshop with a consulting partner’s delivery team, showing them how to position AI as a collaborator in sprint planning and code generation while maintaining human oversight on architecture decisions. Later, you could be demonstrating Kiro’s spec-driven development capabilities to an ISV partner exploring how to accelerate their product roadmap. You will spend time creating reusable enablement assets, guiding partners through AI-DLC accreditation, and collaborating with AWS field teams to match partner capabilities with customer demand for AI-powered development. You will also represent the voice of partners to AWS service teams, influencing how these tools and methodologies evolve.

About the team

You will join the EMEA Partner Solutions Architecture (PSA) organization within the AWS Partner Organization (APO). The PSA team serves as a scale engine for AWS, propelling growth by recruiting, activating, and developing partners. We provide technical enablement and thought leadership that helps partners build and sell solutions on AWS. This role sits within the Solutions PSA team, which drives AWS growth through differentiated partner solutions in targeted industries and horizontals — including NextGen Development and AI-driven software engineering. The team operates across EMEA, collaborating with commercial sales, industry SAs, and the broader partner ecosystem. You will be based in Madrid with flexibility to travel across the region to work directly with partners and attend industry events.

Qualifications

  • Bachelor's degree in computer science, engineering, mathematics or equivalent.
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
  • Experience in a technical role within a sales organization.
  • Knowledge of software development tools and methodologies.
  • Technical degree (Computer Science, Software Engineering, or equivalent) and/or relevant industry experience.
  • Experience in software development, application architecture, or DevOps engineering.
  • Working knowledge of modern software development practices: CI/CD, infrastructure as code, automated testing, containerization.
  • Familiarity with at least one modern programming language (Python, Java, TypeScript, Go, .NET).
  • Experience designing and delivering technical workshops or enablement sessions to engineering audiences.
  • Experience working in a partner-facing or channel-facing technical role.
  • Fluent written and verbal communication skills in English and another European language.
  • Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering).
  • Experience with AI-assisted development tools and methodologies (agentic coding, spec-driven development, AI pair programming).
  • Hands-on experience with application modernization: migrating legacy codebases, refactoring monoliths to microservices, or language/framework upgrades.
  • Knowledge of generative AI foundations: large language models, prompt engineering, context engineering, retrieval augmented generation (RAG).
  • Experience enabling or developing partner ecosystems (system integrators, ISVs, consulting firms).
  • Familiarity with IDE extensibility, developer tooling, and software supply chain practices.
  • Experience with cloud-native application development on AWS (Lambda, ECS/EKS, Step Functions, CDK).
  • AWS certification (e.g. AWS Solutions Architect Associate or Professional, Developer Associate).
  • Experience with public speaking, technical blogging, or producing educational content.
  • Fluent written and verbal communication skills in an additional European language.

Partner Solutions Architect, Next Gen Dev, AWS Partner Field EMEA in London employer: Amazon

Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.

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Contact Details:

Amazon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Partner Solutions Architect, Next Gen Dev, AWS Partner Field EMEA in London

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We think you need these skills to ace Partner Solutions Architect, Next Gen Dev, AWS Partner Field EMEA in London

Technical Guidance
AI-Assisted Development
Code Modernization
Developer Productivity
Next-Generation Software Development
Prototyping
Proof-of-Concept Solutions

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 Amazon.

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

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 Amazon 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.