AmazonPosted 3mo ago

Partner Solutions Architect, Agentic Next Gen Development, AWS Partner Field EMEA

Partner Solutions Architect, Agentic Next Gen Development, AWS Partner Field EMEA at Amazon scores 73 out of 100 on AI centrality, which makes it a Level 3 role on this board.

ES, M, Madridfull-time

AI in this role

langchainlanggraphcrewaibedrock

prompt-engineeringragai-agentsai-safety

Are you passionate about how AI is reshaping the way software is built? As a Partner Solutions Architect focused on Next-Gen Development, you will work with AWS Consulting and Technology Partners across EMEA to help them adopt AI as a key toolset on the development efforts. You will do it by delivering the AI-Driven Development Lifecycle (AI-DLC) methodology, while enabling Partners on the usage of stae-of-the-art AWS’ Next-Gen tools such as Kiro, Kiro CLI and others. AI-DLC positions AI as a central collaborator throughout the software development lifecycle — from planning and design through implementation and testing — with human oversight on critical decisions. You will enable partners to embed this methodology into their delivery practices, helping their customers build software faster and with higher quality 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 on 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 Agentic AI and intelligent process automation. 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 EMEA to work directly with partners and attend industry events.

Basic 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
- Technical degree (Computer Science, Engineering, Mathematics, or equivalent) and/or relevant industry experience
- Experience in solution architecture, pre-sales engineering, or technical consulting involving AI/ML, automation, or enterprise integration
- Working knowledge of cloud computing concepts (networking, compute, storage, security) and distributed systems
- Familiarity with AI agent architectures: multi-agent orchestration, tool use, memory management, or retrieval augmented generation
- 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 Spanish

Preferred qualifications

- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Experience building agentic AI systems: tool use, multi-agent orchestration, memory management, guardrails, or human-in-the-loop patterns
- Hands-on experience with AWS AI/ML services (Amazon Bedrock, AgentCore, Lambda, Step Functions)
- Knowledge of large language models, prompt engineering, retrieval augmented generation, and how they underpin agentic systems
- Experience with responsible AI practices, guardrail implementation, and observability for AI agents
- Experience enabling or developing partner ecosystems (system integrators, ISVs, consulting firms)
- Familiarity with Python and frameworks for building AI agents (Strands, LangChain, LangGraph, CrewAI)
- Experience with enterprise integration patterns (APIs, event-driven architectures, microservices)
- AWS certification (e.g. AWS Solutions Architect Associate or Professional, Machine Learning)
- Experience with public speaking, technical blogging, or producing educational content

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.

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.

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Skills and AI tools this role asks for

Prompt EngineeringRagAI AgentsAI SafetyLangChainLangGraphCrewAIBedrock

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?
Walk me through how you've used LangChain in your day-to-day work.

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Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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