Senior Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation

Amazon is hiring a Senior Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation in Bellevue, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Bedrock, SageMaker and Amazon Bedrock among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Drive strategic architectural guidance and best practices for generative AI, RAG, and agentic AI workloads on AWS.

BedrockSageMakerAmazon BedrockAWS

prompt-engineeringragai-agentsfine-tuningml-opsai-safety

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

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 Senior 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.
• Influence Service Roadmaps: Partner with Stakeholders and Engineers across AWS service teams (Amazon Bedrock, SageMaker, Q, AWS Security services, etc.) to represent the customer voice on AI security validate architectural recommendations and influence product direction based on security 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
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

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.

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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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.

Basic qualifications

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of hands-on experience designing, building, or advising on Machine Learning and/or AI systems in production environments
- Deep understanding of the end-to-end ML lifecycle: data preparation, model training, evaluation, deployment, monitoring, and governance
- Demonstrated ability to influence technical direction across organizational boundaries without direct authority
- Exceptional written and verbal communication skills with a track record of publishing authoritative technical content (whitepapers, guidance documents, reference architectures) for executive and technical audiences
- Proven ability to work with cross-functional senior leadership to define and implement architectural standards at organizational scale

Preferred qualifications

- Knowledge of AWS services, market segments, customer base and industry verticals
- Hands-on experience with Agentic AI patterns: autonomous agents, multi-agent systems, tool-use architectures, planning/reasoning patterns, and human-in-the-loop orchestration
- Expert-level knowledge of AWS AI/ML services: Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS Trainium/Inferentia, Amazon Kendra, Amazon OpenSearch, and related services.
- Experience defining or contributing to the AWS Well-Architected Guidance or similar enterprise-scale architectural review guidance
- Recognized thought leader with a strong publication record and conference speaking history (re:Invent, AWS Summits, industry architecture conferences, or equivalent).
- Experience with Infrastructure as Code (CDK, CloudFormation, Terraform) and CI/CD practices for ML pipelines (MLOps/LLMOps).
- Deep knowledge of responsible AI practices: fairness, explainability, safety guardrails, governance guidance, and regulatory compliance
- AWS certifications (Solutions Architect Professional, Generative AI, or equivalent).
- Demonstrated experience mentoring senior engineers and contributing to organizational hiring and talent development strategy

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Irvine - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually

How we rate this

Senior Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Solutions Architect, AI-Applied Guidance, Well-Architected Solutions Innovation is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $154k-$208k a year.
The role is based in US, WA, Bellevue.
The job was posted on September 17, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsFine-tuningML OpsAI SafetyBedrockSageMaker

Also common in solutions architect jobs at this level

Python Azure LLM Google Cloud SQL Kubernetes

Pay

This job starts at: $154k
Typical solutions architect job: $169k

This posting starts 9% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and ML Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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