Senior Specialist Solutions Architect GenAI
Amazon
Senior Specialist Solutions Architect GenAI
Amazon
Sells products online and rents cloud computing
Are you passionate about Artificial Intelligence, GenerativeAI and Agentic AI? Do you enjoy helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us!
At Amazon, we've been investing deeply in building the right solutions that allow you to derive the most value from AI and agentic architectures. AWS is looking for a specialist solutions architect for our AI/Agentic team, who will be the Subject Matter Expert (SME) helping customers design complex agentic AI solutions.
Key job responsibilities
As part of the team, you will work closely with Europe North customers across all industry verticals to enable large-scale AI use cases and drive the adoption of advanced AWS AI services, including foundation models, agent frameworks, and generative AI capabilities. You will interact with other Solution Architects in the field, providing guidance on their customer engagements. Beyond building, you will also be responsible for creating and delivering original content representing AWS innovation — including white papers, blogs, reference implementations, and presentations — to enable customers to fully leverage AWS's AI and agentic offerings.
About the team
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.
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.
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.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near Amazon offices.
- 3+ years of experience architecting and deploying Generative AI/ML systems and platforms end-to-end.
- Experience designing solutions with LLMs, including model selection, customization, and fine-tuning.
- Proficiency with agentic AI patterns — including LLM-powered agents, function calling, orchestration frameworks, and tool integration.
- Experience with prompt engineering, RAG architectures, embedding models, and retrieval optimization.
- Understanding of ML fundamentals, including training/inference lifecycles and model optimization.
- Experience in a customer-facing technical role, translating business requirements into scalable AI architectures.
- Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Step Functions for agentic orchestration).
- Hands-on experience building multi-agent systems, including agent-to-agent communication and autonomous task decomposition.
- Experience with open-source agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen).
- Familiarity with responsible AI practices — guardrails, model evaluation, and bias mitigation.
- Experience with vector databases and knowledge graphs for grounding AI systems.
- Track record of producing technical content (blogs, reference architectures, workshops, conference presentations).
- Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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