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

Description

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 will drive adoption of AWS GenAI/ML services, helping organizations achieve innovation and transformation goals through GenAI/ML architectures. The role requires deep domain-specific expertise, addressing advanced concepts and feature designs, and bridging the gap between innovative AI technologies and practical business outcomes. Key Responsibilities

Provide customers with deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions to meet strategic business objectives using AWS products. 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. Lead architectural reviews, workshops, and proof‑of‑concepts to advance customers' technical objectives and validate proposed solutions. Share best practices through AWS blogs, whitepapers, and reference architectures, helping to educate the broader technical community. Gather customer insights to inform AWS product teams about market needs, contributing to the evolution of AWS GenAI/ML services based on real‑world implementation experience. Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences such as AWS Summit and re:Invent. Basic Qualifications

Cloud Technology Certification (e.g., 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 of design, implementation, or consulting experience for specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, or data & analytics. 4+ years of management of technical, customer‑facing resources. 4+ years of experience in a Data & AI related field. 4+ years of design, implementation, or consulting for Machine Learning/AI/Deep Learning solutions—using frameworks such as TensorFlow and PyTorch. 4+ years of professional experience in software development in languages related to ML such as Python or Java, plus experience with RESTful APIs and general service‑oriented architecture. Preferred Qualifications

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 and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value a diverse workforce and are committed to protecting your privacy. For more information about how we collect, use, and transfer personal data of candidates, please consult our Privacy Notice. If you need a workplace accommodation or adjustment during the application and hiring process, please let us know.

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