AI/ML Specialist Solutions Architect, Enterprise, AGS US Specialist SA

About the role

AWS is looking for a Generative AI/ML Solutions Architect who will be the Subject Matter Expert for helping customers in the United States design solutions leveraging AWS GenAI and ML services. You will work as an overlay to field sales teams, covering customers across multiple verticals and helping them architect and adopt solutions using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, Amazon Nova models, and the broader AI/ML portfolio. You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and production-scale inference pipelines.

You will interact with other Solutions Architects in the field, providing guidance on their customer engagements. You will develop blog posts, reference implementations, workshops, and presentations to enable customers to fully leverage generative AI on AWS. Additionally, as the voice of the customer, you will work closely with service teams and submit product feature requests to drive the platform forward.

Travel up to 30% across the United States may be required.

Responsibilities

• Work with customers' development, data science, and AI engineering teams to deeply understand their business and technical needs, then design solutions using AWS AI/ML services including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, Amazon Nova foundation models, Amazon Quick, Kiro, Amazon Comprehend, Amazon Rekognition, Amazon Textract, and Amazon Transcribe.
• Partner with Solutions Architects, Sales, Business Development, and AI/ML service teams to accelerate customer adoption and revenue attainment for AWS generative AI and machine learning services, with a focus on Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker AI, and the agentic AI portfolio.
• Evangelize AWS GenAI/ML services and share best practices through blogs, whitepapers, reference architectures, sample code repositories, and public-speaking events such as AWS Summit and AWS re:Invent.
• Act as a technical liaison between customers and AWS service teams (Bedrock, AgentCore, SageMaker, and broader AI/ML) to provide customer-driven product improvement feedback and feature requests.
• Develop and support an internal community of GenAI subject matter experts in the Americas, enabling field teams to identify, qualify, and position generative AI and agentic AI opportunities with their customers.

Qualifications

• Deep technical experience working with generative AI, machine learning, and/or deep learning technologies.
• Hands-on experience building applications on foundation models, including RAG pipelines, agent frameworks, prompt engineering, model evaluation, and fine-tuning.
• Strong mathematics and statistics background is preferred, along with experience in solution architecture and production ML systems.
• Familiarity with the GenAI ecosystem, including model providers, orchestration frameworks, vector databases, and evaluation tools.

A day in the life

Most of your time is spent working directly with customers, helping them use generative AI and machine learning to solve real business problems. On a given day, you might:

• Sketch out architectures on a virtual whiteboard with a customer’s engineering team building an AI agent for invoice processing.
• Prepare demos for customers evaluating AWS for conversational AI use cases.
• Run on-site workshops guiding a customer’s ML team through building their first retrieval-augmented generation pipeline.
• Focus on a specific industry (e.g., financial services, healthcare, manufacturing) to build expertise in its unique challenges, regulations, and data requirements.

Between customer engagements, you’ll create resources to share your knowledge, such as blog posts, demos, or reference architectures. You’ll also help other technical teams spot AI/ML opportunities in their customer conversations.

Occasionally, you may present customer success stories at large events like re:Invent, get early access to new services to shape their development, or advise Fortune 500 executives on multi-million-dollar AI investments. Travel averages 20-30%, primarily for customer workshops, executive briefings, and AWS events.

About the team

AWS values diverse experiences and encourages candidates from all backgrounds to apply, even if they don’t meet every preferred qualification. The team fosters an inclusive culture through employee-led affinity groups and company-sponsored inclusion events, promoting collaboration and innovation.

Benefits

• Mentorship and career growth opportunities, with access to knowledge-sharing and professional development resources.
• Work-life balance with a focus on flexibility to support personal and professional harmony.