Principal AI Solution Architect, Data & AI Specialist Solutions Architect team
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Monthly Salary:
Posted on:
7 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.
- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Experience communicating across technical and non-technical audiences and at C-level including training workshops publications
- Ability to influence customer and internal business decision makers as a technical thought leader and ability to effectively communicate across an increasing diversity of audiences internally and externally
- Hands-on experience with AWS ecosystems (including Bedrock AgentCore and SageMaker) to set up secure private-network AI environments and practical experience implementing Retrieval-Augmented Generation using embeddings vector stores and semantic search optimization.
- 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.
- 8 years of design/implementation of production AI systems
- 7 years management of technical customer facing resources
- AWS certification such as AWS Solutions Architect or a similar cloud certification
- 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
- Proven ability to lead projects with complex challenges with extensible operationally excellent cost optimized and aligned solutions outcomes
- Technical Cloud Certification & Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field or PhD
- 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).
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
- 10 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- Experience communicating across technical and non-technical audiences and at C-level including training workshops publications
- Ability to influence customer and internal business decision makers as a technical thought leader and ability to effectively communicate across an increasing diversity of audiences internally and externally
- Hands-on experience with AWS ecosystems (including Bedrock AgentCore and SageMaker) to set up secure private-network AI environments and practical experience implementing Retrieval-Augmented Generation using embeddings vector stores and semantic search optimization.
- 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.
- 8 years of design/implementation of production AI systems
- 7 years management of technical customer facing resources
- AWS certification such as AWS Solutions Architect or a similar cloud certification
- 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
- Proven ability to lead projects with complex challenges with extensible operationally excellent cost optimized and aligned solutions outcomes
- Technical Cloud Certification & Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field or PhD
- 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).
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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:
Staff 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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