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Principal Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation
Bellevue, Washington, USA, Dallas, Texas, USA, Irvine, California, USA
full-timeSolutions ArchitectJob Description
Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS? We are looking for a Principal Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Architectural Guidance Best Practices across AI workloads. You will operate at the intersection of AI technologies and cloud architecture, ensuring AI workloads achieve Well-Architected outcomes across all six pillars — Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability — influencing both internal AWS teams and the broader builder community.
In this role, you will define the long-term technical direction for AI architectural guidance, translate emerging AI/ML patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, and influence AWS service design to better serve AI builders worldwide.
Key job responsibilities
- Set Strategic Technical Direction: Define and own the long-term vision and roadmap for AI/ML architectural guidance aligned to the AWS Well-Architected Guidance pillars.
- Generative AI & Agentic AI Thought Leadership: Serve as the organization's principal technical authority on architectures involving foundation models, retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering, agentic workflows, multi-agent orchestration, and responsible AI practices. Drive consensus on complex, ambiguous technical decisions.
- Raise the Bar Across the Organization: Establish quality standards, review mechanisms, and architectural guardrails that elevate the entire guidance portfolio. Define what "great" looks like and hold the team accountable.
- Influence Service Roadmaps: Partner with Stakeholders and Engineers across AWS service teams (Amazon Bedrock, SageMaker, Q, etc.) to represent the customer voice, validate architectural recommendations, and influence product direction based on patterns observed in production AI workloads.
- Executive Customer Engagement: Engage directly with strategic enterprise customers to validate guidance through real-world implementations, identify emerging architectural challenges, and translate insights into scalable best practices.
- Drive Innovation in Content Delivery: Own the strategy for automation tooling and pipelines (including Generative AI–assisted authoring) that accelerate the creation, review, and publication of guidance at scale. Define mechanisms that ensure guidance remains current as the AI landscape evolves rapidly.
- External Thought Leadership: Publish whitepapers, blog posts, and reference architectures; present at AWS events (re:Invent, Summits, webinars) and industry conferences to establish AWS as the definitive authority on Well-Architected AI.
- Mentorship & Organizational Impact: Mentor senior architects, drive hiring bar-raising, and build a community of practice that scales AI/ML architectural expertise across the organization. Contribute to organizational strategy and workforce planning.
- Mechanisms & Operational Excellence: Design and implement repeatable mechanisms (e.g., architectural review processes, guidance lifecycle management, feedback loops) that ensure sustained quality and relevance at scale.
- Hands-On Technical Validation: Validate architectural recommendations through prototyping, proof-of-concept implementations, and code samples that demonstrate best practices in practice.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job
description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or
includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We
pioneered cloud computing and never stopped innovating — that’s why customers from the most successful
startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of
inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our
Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop
embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll
find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into
a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home,
which is why flexible work hours and arrangements are part of our culture. When we feel supported in the
workplace and at home, there’s nothing we can’t achieve in the cloud.
In this role, you will define the long-term technical direction for AI architectural guidance, translate emerging AI/ML patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, and influence AWS service design to better serve AI builders worldwide.
Key job responsibilities
- Set Strategic Technical Direction: Define and own the long-term vision and roadmap for AI/ML architectural guidance aligned to the AWS Well-Architected Guidance pillars.
- Generative AI & Agentic AI Thought Leadership: Serve as the organization's principal technical authority on architectures involving foundation models, retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering, agentic workflows, multi-agent orchestration, and responsible AI practices. Drive consensus on complex, ambiguous technical decisions.
- Raise the Bar Across the Organization: Establish quality standards, review mechanisms, and architectural guardrails that elevate the entire guidance portfolio. Define what "great" looks like and hold the team accountable.
- Influence Service Roadmaps: Partner with Stakeholders and Engineers across AWS service teams (Amazon Bedrock, SageMaker, Q, etc.) to represent the customer voice, validate architectural recommendations, and influence product direction based on patterns observed in production AI workloads.
- Executive Customer Engagement: Engage directly with strategic enterprise customers to validate guidance through real-world implementations, identify emerging architectural challenges, and translate insights into scalable best practices.
- Drive Innovation in Content Delivery: Own the strategy for automation tooling and pipelines (including Generative AI–assisted authoring) that accelerate the creation, review, and publication of guidance at scale. Define mechanisms that ensure guidance remains current as the AI landscape evolves rapidly.
- External Thought Leadership: Publish whitepapers, blog posts, and reference architectures; present at AWS events (re:Invent, Summits, webinars) and industry conferences to establish AWS as the definitive authority on Well-Architected AI.
- Mentorship & Organizational Impact: Mentor senior architects, drive hiring bar-raising, and build a community of practice that scales AI/ML architectural expertise across the organization. Contribute to organizational strategy and workforce planning.
- Mechanisms & Operational Excellence: Design and implement repeatable mechanisms (e.g., architectural review processes, guidance lifecycle management, feedback loops) that ensure sustained quality and relevance at scale.
- Hands-On Technical Validation: Validate architectural recommendations through prototyping, proof-of-concept implementations, and code samples that demonstrate best practices in practice.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job
description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or
includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We
pioneered cloud computing and never stopped innovating — that’s why customers from the most successful
startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of
inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our
Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop
embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll
find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into
a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home,
which is why flexible work hours and arrangements are part of our culture. When we feel supported in the
workplace and at home, there’s nothing we can’t achieve in the cloud.