Senior AI Solution Architect
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Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on AI Specialist Solution Architect (SSA). AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise able to address advanced concepts and feature designs.
As part of the AWS sales organization SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable flexible and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.
Specialist SAs play a critical role in capturing customer feedback advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts SSAs also participate in field engagement and enablement producing content such as whitepapers blogs and workshops for customers partners and the AWS Technical Field.
This role focuses on converting AI ambition into programs that can be delivered operated and scaled in production environments.
Key job responsibilities
- The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
- Youll manage the overall technical relationship between AWS and our customers making recommendations on security cost performance reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
- Internally you will be the voice of the customer sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
- In this role your creativity will link technology to tangible solutions with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
- You will participate in the creation and sharing of best practices technical content and new reference architectures (e.g. white papers code samples blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops user groups meetups public speaking online videos or conferences).
- Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops contributing reusable code reference architectures and internal technical assets for the broader engineering organization.
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 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
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.
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 in the cloud.
- 7 years of in design/implementation/operations/consulting with distributed applications experience
- Experience with AWS technologies
- 5 years management of technical customer facing resources
- 5 years of design/implementation of production AI systems.
- Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems fine-tuning LLMs deployment and distributed inference of LLMs RAG FM evaluation Vector DBs Agentic workflows prompt/context engineering and MLOps.
- Able to effectively communicate across an increasing diversity of audiences internally and externally
- Ability to influence customer and internal business decision makers as a technical thought leader
- Cloud Technology Certification (such as Solutions Architecture Cloud Security Professional or Cloud DevOps Engineering)
- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field or PhD
- Proven ability to lead projects with complex challenges with extensible operationally excellent cost optimized and aligned solutions outcomes
- Ability to lead a team or small organization-wide initiative with business objectives that are partially defined
- Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
- Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA Instruction Tuning and RLHF to optimize for specific domain tasks.
- Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g. Financial Services Healthcare Public Sector).
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.
As part of the AWS sales organization SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable flexible and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or design an entirely new cloud-based system.
Specialist SAs play a critical role in capturing customer feedback advocating for roadmap enhancements and anticipating customer requirements as they work backwards from their needs. As domain experts SSAs also participate in field engagement and enablement producing content such as whitepapers blogs and workshops for customers partners and the AWS Technical Field.
This role focuses on converting AI ambition into programs that can be delivered operated and scaled in production environments.
Key job responsibilities
- The AI Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor ensuring they get the most out of the cloud at every stage of their journey while adopting GenAI/ML and Agentic technologies across their organisation.
- Youll manage the overall technical relationship between AWS and our customers making recommendations on security cost performance reliability and operational efficiency to accelerate their challenging GenAI/ML and Agentic projects.
- Internally you will be the voice of the customer sharing their needs with regard to their usage of our services impacting the roadmap of AWS GenAI/ML and Agentic features.
- In this role your creativity will link technology to tangible solutions with the opportunity to define cloud-native GenAI/ML and Agentic architectural patterns for a variety of use cases.
- You will participate in the creation and sharing of best practices technical content and new reference architectures (e.g. white papers code samples blog posts) and evangelize and educate about running GenAI/ML and Agentic workloads on AWS technology (e.g. through workshops user groups meetups public speaking online videos or conferences).
- Technical Leadership & Mentorship: Lead hands-on deep dives and technical workshops contributing reusable code reference architectures and internal technical assets for the broader engineering organization.
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 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
Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.
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 in the cloud.
- 7 years of in design/implementation/operations/consulting with distributed applications experience
- Experience with AWS technologies
- 5 years management of technical customer facing resources
- 5 years of design/implementation of production AI systems.
- Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems fine-tuning LLMs deployment and distributed inference of LLMs RAG FM evaluation Vector DBs Agentic workflows prompt/context engineering and MLOps.
- Able to effectively communicate across an increasing diversity of audiences internally and externally
- Ability to influence customer and internal business decision makers as a technical thought leader
- Cloud Technology Certification (such as Solutions Architecture Cloud Security Professional or Cloud DevOps Engineering)
- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field or PhD
- Proven ability to lead projects with complex challenges with extensible operationally excellent cost optimized and aligned solutions outcomes
- Ability to lead a team or small organization-wide initiative with business objectives that are partially defined
- Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
- Experience in running & fine-tuning Large and Small Language Models using advanced techniques like LoRA/QLoRA Instruction Tuning and RLHF to optimize for specific domain tasks.
- Expertise in architecting AI systems within highly regulated or security-sensitive environments (e.g. Financial Services Healthcare Public Sector).
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.
Required Experience:
Senior IC
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
About Company
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