Sr. GTM Specialist Solution Architect GenAI, EU South, EMEA Data and AI Solutions Architecture
Amazon
- Location
- Onsite (Madrid, Community of Madrid)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the role
AWS is seeking a Sr. GTM Specialist Solution Architect to drive GenAI and ML adoption for enterprise customers in EMEA. This role involves building technical relationships, influencing product roadmaps, and creating technical content to help customers accelerate their cloud-based AI projects.
Skills
Generative AI
Machine Learning
Cloud Architecture
Technical Sales
Data Engineering
Distributed Applications
Statistical Modeling
Customer Engagement
Solution Architecture
Agentic Technologies
Cloud Computing
Technical Writing
Public Speaking
Business Acumen
Mentorship
Full job details
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 Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
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
EMEA 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: - Experience as a technical specialist in customer-facing roles
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- 7+ years design/implementation/consulting experience of distributed applications.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Preferred Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience working with end user or developer communities
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience working within software development or Internet-related industries
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
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.
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 Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
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
EMEA 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: - Experience as a technical specialist in customer-facing roles
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- 7+ years design/implementation/consulting experience of distributed applications.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies. Preferred Qualifications: - Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience working with end user or developer communities
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience working within software development or Internet-related industries
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
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.