Senior GTM Specialist Solution Architect AI/ML, GenAI, EMEA Data and AI Solutions Architecture

Amazon is hiring a Senior GTM Specialist Solution Architect AI/ML, GenAI, EMEA Data and AI Solutions Architecture in Madrid, Spain. Level rates it ; you can apply on Level.

AI in this role

ragai-agentsfine-tuningml-opsai-safety

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based system
Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
AI/ML/GenAI Specialist Solutions Architects combine technical skills in AI/ML/GenAI business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Key job responsibilities
The WWSO AI/ML/GenAI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
In this role, your creativity will link technology to tangible solutions, with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
If you can educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us.

About the team
SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Diverse Experiences
Amazon 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.

Why AWS?
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.

Work/Life Balance
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.

Inclusive Team Culture
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.

Mentorship and Career Growth
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.

Basic qualifications

- 7+ years of design/implementation/consulting experience of distributed applications
- 5+ years management of technical, customer facing resources
- 5+ years of design/implementation of production AI/ML/GenAI/Agentic systems including integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and/or AIOps.
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience engaging with C-level executives

Preferred qualifications

- Advanced degree (MS or PhD) in computer science, engineering, mathematics or equivalent
- 7+ years of Solutions Architecture (or equivalent) experience with deep expertise in machine learning, generative AI, MLOps, data for AI, and responsible AI principles,
- Proven ability to influence at C-level and anticipate future state of technology and service gaps
- Track record of driving transformational AI initiatives with programmatic scale mechanisms across multiple industries and geographies, and strong understanding of EMEA regulatory landscape and cloud-native architectures at scale.
- Able to effectively communicate across an increasing diversity of audiences internally and externally

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.

How we rate this

Senior GTM Specialist Solution Architect AI/ML, GenAI, EMEA Data and AI Solutions Architecture at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior GTM Specialist Solution Architect AI/ML, GenAI, EMEA Data and AI Solutions Architecture is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in ES, M, Madrid.
The job was posted on October 13, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsFine-tuningML OpsAI Safety

Also common in solutions architect jobs at this level

Python Azure Google Cloud SQL Kubernetes Spark

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

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?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Fine-tuning, ML Ops, and AI Safety. An applicant tracking system matches the wording, not the idea.
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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