Sr. Applied AI Architect, Applied AI & Data Architecture
Amazon
- Location
- Onsite (Bellevue, Washington · New York, New York · Irvine, California · Irving, Texas)
- Compensation
- $153k - $228k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Join AWS as a Sr. Applied AI Architect to design and implement end-to-end agentic AI solutions for global customers. You will serve as a trusted technical advisor, balancing direct customer engagement with building reusable assets and open-source contributions to drive AI adoption.
Skills
Applied AI
Cloud computing
Amazon Bedrock
Agentic systems
Software architecture
Generative AI
System design
Technical consulting
Orchestration patterns
Data engineering
Machine learning
AI security
DevOps
Technical leadership
Stakeholder management
Reference architecture
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- 401(k) matching
- Paid time off
- Parental leave
- Life insurance
Perks
- Restricted stock units
- Sign-on payments
Full job details
Applied AI Solutions Architects in AWS help customers build and use AI agents to transform how work gets done. You will design and productionize agentic systems using services like Amazon Bedrock and AgentCore, build and contribute to open-source AI accelerators, and help customers adopt AI-native software development practices.
The role splits roughly 50/50 between direct customer engagements and building leverage through reusable assets, open source, and thought leadership. In customer work, you will guide customer teams to leverage AI services and frameworks. You'll work hands-on to unblock adoption and ensure solutions are secure, reliable, and cost-effective. In your building time, you will create reference implementations, contribute to open-source projects, and develop content that enables the broader community. You will work closely with AWS service teams to close the loop between what customers need and what AWS builds.
This is a global role within the Solutions Architect organization. You will maintain deep relationships with AI service teams and collaborate with specialists and builder customers across regions to stay current on capabilities and influence roadmaps.
Key job responsibilities
- Design end-to-end agentic solutions for customers by understanding their business objectives, clarifying assumptions, and making informed trade-off decisions across areas such as model selection, orchestration patterns, tool and context design, evaluation and guardrails, and latency/cost optimization.
- Serve as a trusted technical advisor to customers, diving deeply into technical details, identifying opportunities and risks, and contributing to constructive discussions that accelerate platform and service adoption.
- Leverage existing design patterns and reusable artifacts where appropriate, and create new solution designs with potential for future reuse when novel approaches are required.
- Develop and deliver technical content such as presentations, workshops, sample code, and white papers that educate customers on best practices and incorporate lessons learned from real-world engagements.
- Collaborate with internal teams including sales, engineering, and support to translate customer feedback into technical requirements, resolve root-cause issues, and progress opportunities through their lifecycle.
A day in the life
You start your morning reviewing a customer's architecture proposal, preparing feedback on their scaling strategy and security posture before a design review call. After the call, you sketch out an updated reference architecture that addresses the constraints discussed. In the afternoon, you collaborate with an engineering team to document a feature request a customer raised, then wrap up by refining a workshop you are building to share best practices with a broader customer audience.
About the team
Applied AI and Data Architects (AIDA) is a team of specialized AI prototypers with a product mindset. The team builds a portfolio of domain-specific Tech Field Products such as semantics, data engineering, ML, AI security/governance/agent-ops, and DevOps. Each product is grounded in customer reality. The team earns the right to guide by building alongside customers.
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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
Diverse Experiences
AWS 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.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - Experience working with end user or developer communities
- Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
- Experience delivering customer-facing features built on generative AI or agentic capabilities, including evaluating and improving output quality in production
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.
USA, CA, Irvine - 153,600.00 - 207,800.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Irving - 153,600.00 - 207,800.00 USD annually
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually
The role splits roughly 50/50 between direct customer engagements and building leverage through reusable assets, open source, and thought leadership. In customer work, you will guide customer teams to leverage AI services and frameworks. You'll work hands-on to unblock adoption and ensure solutions are secure, reliable, and cost-effective. In your building time, you will create reference implementations, contribute to open-source projects, and develop content that enables the broader community. You will work closely with AWS service teams to close the loop between what customers need and what AWS builds.
This is a global role within the Solutions Architect organization. You will maintain deep relationships with AI service teams and collaborate with specialists and builder customers across regions to stay current on capabilities and influence roadmaps.
Key job responsibilities
- Design end-to-end agentic solutions for customers by understanding their business objectives, clarifying assumptions, and making informed trade-off decisions across areas such as model selection, orchestration patterns, tool and context design, evaluation and guardrails, and latency/cost optimization.
- Serve as a trusted technical advisor to customers, diving deeply into technical details, identifying opportunities and risks, and contributing to constructive discussions that accelerate platform and service adoption.
- Leverage existing design patterns and reusable artifacts where appropriate, and create new solution designs with potential for future reuse when novel approaches are required.
- Develop and deliver technical content such as presentations, workshops, sample code, and white papers that educate customers on best practices and incorporate lessons learned from real-world engagements.
- Collaborate with internal teams including sales, engineering, and support to translate customer feedback into technical requirements, resolve root-cause issues, and progress opportunities through their lifecycle.
A day in the life
You start your morning reviewing a customer's architecture proposal, preparing feedback on their scaling strategy and security posture before a design review call. After the call, you sketch out an updated reference architecture that addresses the constraints discussed. In the afternoon, you collaborate with an engineering team to document a feature request a customer raised, then wrap up by refining a workshop you are building to share best practices with a broader customer audience.
About the team
Applied AI and Data Architects (AIDA) is a team of specialized AI prototypers with a product mindset. The team builds a portfolio of domain-specific Tech Field Products such as semantics, data engineering, ML, AI security/governance/agent-ops, and DevOps. Each product is grounded in customer reality. The team earns the right to guide by building alongside customers.
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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
Diverse Experiences
AWS 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.
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - Experience working with end user or developer communities
- Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
- Experience delivering customer-facing features built on generative AI or agentic capabilities, including evaluating and improving output quality in production
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, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Irving - 153,600.00 - 207,800.00 USD annually
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually