Senior GenAI Solutions Architect for Enterprise AI

Amazon Web Services (AWS); Denver (CO); On-site; USD 183,000 - 247,000; Full time

Job summary

Amazon Web Services, Inc. seeks an AI/ML Specialist Solutions Architect to design scalable, secure AI/ML, Generative AI, and agentic AI solutions on AWS for strategic accounts.

You will work at the intersection of innovation and enterprise requirements to deliver reliable, well-governed architectures. You will guide customers through their AI transformation journey, develop reference architectures and workshops, and enable partners and ISVs to leverage AI capabilities on AWS, while contributing

Qualifications

• 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications.
• Experience developing technology solutions and evangelising end‑to‑end technology roadmaps that guide IT transformations toward cloud computing.
• Knowledge of distributed systems design and implementation or equivalent.

Responsibilities

• Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with particular focus on enterprise‑grade AI/ML architectures, Generative AI solutions, and agentic systems.

Skills

10+ years in technology domains

Executive-level communication

End-to-end technology roadmaps

Public speaking & workshops

Education

Bachelor's degree in CS/engineering/mathematics or equivalent

Job description

Amazon Web Services, Inc. seeks an AI/ML Specialist Solutions Architect to design scalable, secure AI/ML, Generative AI, and agentic AI solutions on AWS for strategic accounts.

You will work at the intersection of innovation and enterprise requirements to deliver reliable, well-governed architectures. You will guide customers through their AI transformation journey, develop reference architectures and workshops, and enable partners and ISVs to leverage AI capabilities on AWS, while contributing