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Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)?. 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 designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers?. Become an AWS GenAI Specialist SA!
Within the GenAI/ML Specialist organization, this position is part of the Worldwide Specialist Team, where you will lead the global GTM plan for Amazon Q Business. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your domain.
You partner with technical and business teams across AWS and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.
Key job responsibilities
* Serve as a specialist advisor for Amazon Q Business, developing scalable best practices and educating the broader community
* Assist customers in building production-ready solutions, including complex integrations with existing systems
* Engage with customer executives to shape technology strategy and envision innovative solutions
* Drive high-level discussions across organizations, represent the company at conferences, and communicate effectively to diverse audiences
* Support new service launches, incubate new business, and influence product roadmap through close collaboration with internal teams and external customers
About the team
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.
Diverse Experiences
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.
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.
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.
Mentorship and 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.
BASIC QUALIFICATIONS
– BS/MS in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
– 7+ years of hands-on experience building and deploying cloud solutions
– Experience developing enterprise search solutions integrating multiple datasources (e.g., Sharepoint, Confluence, Salesforce)
– Hands-on experience with Large Language Models, RAG-based systems, and Vector databases
– Excellent communication and presentation skills for collaborating with internal and external stakeholders
PREFERRED QUALIFICATIONS
– Hands-on experience with information retrieval patterns and scaling search systems (e.g., Opensearch, Lucene, Solr)
– Experience building enterprise-grade AI assistants, considering security, scalability, and agentic systems
– Experience incubating new products in collaboration with Product teams
– Ability to quickly adapt and dive into unfamiliar topics (e.g., security, databases, networking) based on prior experience
– Strong background in advanced AI concepts and implementations relevant to enterprise solutions
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
