AWS is seeking a GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in 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.
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 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
About the team 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.
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Basic Qualifications
- 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 (e.g. software development, cloud computing, systems engineering, infrastructure, security, data & analytics) experience
- 4+ years management of technical, customer facing resources
- 4+ years of 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.
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)
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