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.
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