Senior AI Solutions Architect - Flexible Hours

Amazon; Bellevue (WA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon AWS Applied AI Solutions is seeking a Senior Solutions Architect to own the strategic vision for AI architectural guidance across workloads. You will influence service roadmaps, validate guidance with customers, and publish authoritative content to advance Well-Architected AI across the organization.

Normalized collaboration with Bedrock, SageMaker, and other AWS services will be essential as you translate AI patterns into prescriptive best practices, guiding security, reliability and

Qualifications

• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• 7+ years of technology domain experience (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 3+ years of hands-on ML/AI systems experience in production environments.
• Deep understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring, governance.

Responsibilities

• Set long-term vision and roadmap for AI/ML architectural guidance.
• Lead generative and agentic AI architectures and best practices.
• Influence AWS service roadmaps and security patterns in production AI workloads.
• Engage with strategic enterprise customers to validate guidance and translate insights into scalable practices.
• Publish whitepapers, blogs, and reference architectures; speak at AWS events.
• Mentor senior architects and contribute to hiring and workforce planning.

Skills

Technical leadership

Cross-functional collaboration

AI/ML architecture

Communication

Education

Bachelor's degree in CS/engineering

Tools

Amazon Bedrock

Amazon SageMaker

AWS services

Q service

Job description

Amazon AWS Applied AI Solutions is seeking a Senior Solutions Architect to own the strategic vision for AI architectural guidance across workloads. You will influence service roadmaps, validate guidance with customers, and publish authoritative content to advance Well-Architected AI across the organization.

Normalized collaboration with Bedrock, SageMaker, and other AWS services will be essential as you translate AI patterns into prescriptive best practices, guiding security, reliability and