Worldwide Specialist Solutions Architect AgenticAI, Data & AI GTM
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
AWS Specialist Solutions Architects (SSAs) are technologists with expert level domain-specific knowledge. They can solve our customers most complex problems and scale their knowledge throughout our global sales organization. Most importantly they form the bridge between our customers and product teams bringing first hand customer experience into our product roadmaps and feature development plans.
Key job responsibilities
We are looking for a strong Solutions Architect with deep expertise in agentic AI systems to enable new capabilities for our customers deploying Agentic AI workloads on AWS. This is not a traditional GenAI roleyou will own the GTM strategy for the next wave of agent capabilities where AI moves from answering questions to taking action: persistent memory dynamic user profiles and personalization research agents agentic AI evaluation and responsible AI guardrailscapabilities that move agents from demos to enterprise-grade production systems. We are looking for someone who has built and shipped production-ready agentic AI systems not just prototypes and understands the hard architectural choices required to close the gap between demo and deployment at scale. You will interact with customers directly to understand their hardest business problems help them architect and implement scalable agentic solutions (often via proof-of-concepts) and feed those field insights back to shape the product features that developers will build on. Working with account teams research scientists and product teams youll drive agent implementations define new solution patterns and create new solutions.
We are part of the Worldwide Specialist Organization at AWS a team of customer-obsessed architects and technical business leaders. We work backwards from our customers most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.
About the team
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 8 years of specific technology domain areas (e.g. AI/ML software development cloud computing data & analytics systems engineering) experience
- 1 years of design implementation or consulting in agentic AI multi-agent systems or LLM-based application architectures experience
- Experience building deploying or supporting production-ready AI systems with persistent memory user personalization or agent orchestration at enterprise scale
- Experience with responsible AI frameworks guardrail architectures and safety patterns for agent systems operating in regulated industries (e.g. financial services healthcare energy public sector)
- Experience designing and operationalizing evaluation frameworks for AI systemsincluding benchmark design human-in-the-loop assessment and production monitoring
- Experience building and deploying production-ready AI systems with persistent memory user personalization or agent orchestration at enterprise scale
- Hands-on experience with foundation models agent frameworks tool-use patterns retrieval-augmented generation and evaluation methodologies for agentic AI systems
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
We are looking for a strong Solutions Architect with deep expertise in agentic AI systems to enable new capabilities for our customers deploying Agentic AI workloads on AWS. This is not a traditional GenAI roleyou will own the GTM strategy for the next wave of agent capabilities where AI moves from answering questions to taking action: persistent memory dynamic user profiles and personalization research agents agentic AI evaluation and responsible AI guardrailscapabilities that move agents from demos to enterprise-grade production systems. We are looking for someone who has built and shipped production-ready agentic AI systems not just prototypes and understands the hard architectural choices required to close the gap between demo and deployment at scale. You will interact with customers directly to understand their hardest business problems help them architect and implement scalable agentic solutions (often via proof-of-concepts) and feed those field insights back to shape the product features that developers will build on. Working with account teams research scientists and product teams youll drive agent implementations define new solution patterns and create new solutions.
We are part of the Worldwide Specialist Organization at AWS a team of customer-obsessed architects and technical business leaders. We work backwards from our customers most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.
About the team
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- 8 years of specific technology domain areas (e.g. AI/ML software development cloud computing data & analytics systems engineering) experience
- 1 years of design implementation or consulting in agentic AI multi-agent systems or LLM-based application architectures experience
- Experience building deploying or supporting production-ready AI systems with persistent memory user personalization or agent orchestration at enterprise scale
- Experience with responsible AI frameworks guardrail architectures and safety patterns for agent systems operating in regulated industries (e.g. financial services healthcare energy public sector)
- Experience designing and operationalizing evaluation frameworks for AI systemsincluding benchmark design human-in-the-loop assessment and production monitoring
- Experience building and deploying production-ready AI systems with persistent memory user personalization or agent orchestration at enterprise scale
- Hands-on experience with foundation models agent frameworks tool-use patterns retrieval-augmented generation and evaluation methodologies for agentic AI systems
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco 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 for more information. If the country/region youre applying in isnt 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 CA San Francisco - 176600.00 - 239000.00 USD annually
USA CA Sunnyvale - 176600.00 - 239000.00 USD annually
USA DC Washington Dc - 153600.00 - 207800.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA TX Austin - 153600.00 - 207800.00 USD annually
USA TX Houston - 153600.00 - 207800.00 USD annually
USA WA Bellevue - 153600.00 - 207800.00 USD annually
USA WA Seattle - 153600.00 - 207800.00 USD annually
Required Experience:
IC
Key Skills
- Fund Management
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- End User Support
- Infrastructure
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- Catia
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