AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in the United Kingdom of Great Britain and Ireland (UKI). This role focuses on driving adoption of AWS GenAI/ML services and helping organizations achieve innovation and transformation goals through Generative AI and Machine Learning architectures.
This position requires technologists with deep domain‑specific expertise, able to address advanced concepts and feature designs. The SSA will bridge the gap between innovative AI technologies and practical business outcomes, serving as a trusted technical advisor to senior customers.
Key job responsibilities
- 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 help 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.
- External Representation: Represent AWS in the Generative AI space 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/consulting experience for technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, 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/consulting experience for Machine Learning/AI/Deep Learning solutions using frameworks such as TensorFlow and PyTorch.
- 4+ years of professional experience in software development in ML‑related languages such as Python or Java, including RESTful APIs and 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‑opportunity employer. We do not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value diversity and encourage applicants from all backgrounds to apply.
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