Senior GenAI/ML Specialist Solutions Architect , AGS-WWSO EMEA-All-CS
Senior GenAI/ML Specialist Solutions Architect , AGS-WWSO EMEA-All-CS
Posted on :
22-05-2025
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1 Vacancy
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Job Description
AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). Youll be instrumental in driving the adoption of AWS GenAI/ML services while helping organizations achieve their innovation and transformation goals through GenAI/ML architectures.
This role requires technologists with deep domainspecific expertise able to address advanced concepts and feature designs. As part of the AWS Global Sales (AGS) organization SSAs work with customers who have complex requirements that require expertlevel knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services enterprisegrade architectural strategies and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.
Youll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey balancing innovation with practical constraints and compliance requirements. Youll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.
Key job responsibilities
1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies designing innovative solutions that help them meet strategic business objectives using AWS products
2. Customer Advisory: Act as a trusted advisor to line of business AI Data and Csuite leaders translating complex technical concepts into business value and guiding their AI transformation journey
3. Technical Leadership: Lead architectural reviews workshops and proofofconcepts to advance customers technical objectives and validate proposed solutions
4. Thought Leadership: Share best practices through AWS blogs whitepapers reference architectures and helping to educate the broader technical community
5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities contributing to the evolution of AWS GenAI/ML services based on realworld implementation experience
6. External Representation: Serve as a thought leader in the Generative AI space representing AWS at industry events and conferences such as AWS Summit and re:Invent
About the team
AWS Values Your Experience
We encourage all candidates to apply regardless of whether you meet every qualification listed. Whether youre early in your career have followed a nontraditional path or bring alternative experiences we want to hear from you.
Why AWS
As the worlds most comprehensive and broadly adopted cloud platform Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies organizations trust our robust suite of products and services to power their businesses.
Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employeeled affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events we create spaces where everyone can bring their authentic selves to work.
Professional Development
As we work toward our goal of becoming Earths Best Employer we invest heavily in our people. Youll have access to extensive knowledgesharing opportunities mentorship programs and career development resources to help you grow professionally.
Work/Life Harmony
Success at work shouldnt require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally innovation thrives.
Experience communicating across technical and nontechnical audiences including executive level stakeholders or clients
Bachelors degree
8 years design/implementation/consulting experience for specific technology domain areas like (e.g. software development cloud computing systems engineering infrastructure security data & analytics) experience
5 years management of technical customer facing resources
5 years of years of experience in a Data & AI related field
5 years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
5 years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general serviceoriented architecture.
AWS ML Specialty certification
5 years of AWS infrastructure architecture securitydatabase architecture and networking experience
Experience working with end user or developer communities
Knowledge of software development tools and methodologies
Cloud Technology Certification (such as AWS Certified Solutions Architect Professional Data Engineer or Cloud DevOps Engineering Professional)
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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
This role requires technologists with deep domainspecific expertise able to address advanced concepts and feature designs. As part of the AWS Global Sales (AGS) organization SSAs work with customers who have complex requirements that require expertlevel knowledge to solve. You must have deep technical expertise in Generative AI and Machine Learning services enterprisegrade architectural strategies and a passion for solving complex business challenges. We are looking for technical experts who can bridge the gap between innovative AI technologies and practical business outcomes for our customers.
Youll work directly with a diverse top range of customers in UKI to help them make optimal technical decisions in their AI/ML journey balancing innovation with practical constraints and compliance requirements. Youll have the opportunity to build enduring relationships with these organizations and establish yourself as a trusted technical advisor in the rapidly evolving field of Generative AI and Machine Learning.
Key job responsibilities
1. Technical Expertise & Solution Design: Provide customers with deep technical expertise in Generative AI and Machine Learning technologies designing innovative solutions that help them meet strategic business objectives using AWS products
2. Customer Advisory: Act as a trusted advisor to line of business AI Data and Csuite leaders translating complex technical concepts into business value and guiding their AI transformation journey
3. Technical Leadership: Lead architectural reviews workshops and proofofconcepts to advance customers technical objectives and validate proposed solutions
4. Thought Leadership: Share best practices through AWS blogs whitepapers reference architectures and helping to educate the broader technical community
5. Product Feedback & Innovation: Gather customer insights to inform AWS product teams about market needs and opportunities contributing to the evolution of AWS GenAI/ML services based on realworld implementation experience
6. External Representation: Serve as a thought leader in the Generative AI space representing AWS at industry events and conferences such as AWS Summit and re:Invent
About the team
AWS Values Your Experience
We encourage all candidates to apply regardless of whether you meet every qualification listed. Whether youre early in your career have followed a nontraditional path or bring alternative experiences we want to hear from you.
Why AWS
As the worlds most comprehensive and broadly adopted cloud platform Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies organizations trust our robust suite of products and services to power their businesses.
Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employeeled affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events we create spaces where everyone can bring their authentic selves to work.
Professional Development
As we work toward our goal of becoming Earths Best Employer we invest heavily in our people. Youll have access to extensive knowledgesharing opportunities mentorship programs and career development resources to help you grow professionally.
Work/Life Harmony
Success at work shouldnt require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally innovation thrives.
Experience communicating across technical and nontechnical audiences including executive level stakeholders or clients
Bachelors degree
8 years design/implementation/consulting experience for specific technology domain areas like (e.g. software development cloud computing systems engineering infrastructure security data & analytics) experience
5 years management of technical customer facing resources
5 years of years of experience in a Data & AI related field
5 years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions using one or more Deep Learning frameworks such as TensorFlow and PyTorch.
5 years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general serviceoriented architecture.
AWS ML Specialty certification
5 years of AWS infrastructure architecture securitydatabase architecture and networking experience
Experience working with end user or developer communities
Knowledge of software development tools and methodologies
Cloud Technology Certification (such as AWS Certified Solutions Architect Professional Data Engineer or Cloud DevOps Engineering Professional)
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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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