GenAI/ML Specialist Solutions Architect, AWS Global Sales (AGS) in Edinburgh

AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in the United Kingdom of Great Britain and Ireland (UKI). You'll 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 domain-specific expertise, able to address advanced concepts and feature designs. As part of the AGS organization, SSAs work with customers who have complex requirements that require expert-level knowledge to solve.

You must have deep technical expertise in Generative AI and Machine Learning services, enterprise-grade 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. You'll 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. You'll 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.

• 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.
• Customer Advisory: Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey.
• Technical Leadership: Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions.
• Thought Leadership: Share best practices through AWS blogs, whitepapers, reference architectures, and helping to educate the broader technical community.
• 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 real-world implementation experience.
• 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.

AWS Values Your Experience: We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.

Why AWS? As the world's 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 employee-led 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 Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.

Work/Life Harmony: Success at work shouldn't 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.

• Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering).
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
• Bachelor's degree.
• 6+ years design/implementation/consulting experience for specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, data & analytics.
• 4+ years management of technical, customer facing resources.
• 4+ years of experience in a Data & AI related field.
• 4+ 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.
• 4+ years professional experience in software development in languages related to ML like Python or Java. Experience working with RESTful API and general service-oriented architecture.
• AWS ML Specialty certification.
• 5+ years of AWS infrastructure architecture, security, database 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.

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