Sr. AI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

About the role

AWS Global Sales drives adoption of the AWS cloud worldwide, empowering customers of all sizes to innovate and expand. As a GenAI/ML Solutions Architect, you will serve as the Subject Matter Expert 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 to 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, providing guidance on customer engagements, and develop blog posts, reference implementations, workshops, and presentations to enable customers to fully leverage generative AI on AWS. Additionally, you will act as the voice of the customer, working closely with service teams to submit product feature requests and drive platform improvements.

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 such as 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 in the Americas, 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 like 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 AWS community of GenAI subject matter experts in the Americas, enabling field teams to identify, qualify, and position generative AI and agentic AI opportunities.

A day in the life

Most of your time is spent working directly with customers to help them solve real business problems using generative AI and machine learning. For example:

• On a video call with engineers at a large insurance company, sketching out an architecture for an AI agent that processes claims documents, discussing data requirements, and evaluating tradeoffs between approaches.
• Preparing a demo for a customer evaluating AWS against competitors for a conversational AI use case.
• Running an on-site workshop where a customer's ML team builds their first retrieval-augmented generation pipeline with your guidance.

You typically focus on a single industry (e.g., financial services, healthcare, manufacturing), building familiarity with its problems, regulations, and data challenges. Engagements may last from a few weeks to a couple of months, offering variety in your work.

Between customer conversations, you create resources to share your knowledge, such as blog posts, demos, or reference architectures for peers. You also help other technical teams understand how to identify AI/ML opportunities in their customer conversations.

Occasionally, you may present customer success stories at events like re:Invent, get early access to new services to shape their development, or brief Fortune 500 executives on agentic AI. Travel runs about 20-30%, primarily for customer workshops, executive briefings, and AWS events.

Requirements

• 8+ years of experience in specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 3+ years of experience in design, implementation, or consulting for applications and infrastructures.
• Deep technical experience 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.
• Familiarity with the GenAI ecosystem, including model providers, orchestration frameworks, vector databases, and evaluation tools.
• Strong mathematics and statistics background is preferred, along with experience in solution architecture and production ML systems.

Preferred Qualifications

• 5+ years of IT development or implementation/consulting experience in the software or Internet industries.
• Experience working with end-user or developer communities.
• Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients.
• Experience architecting or operating solutions built on AWS.

About the team

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand. Our team empowers customers by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud.

Why AWS?

• Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Inclusion events foster stronger, more collaborative teams.
• Mentorship & Career Growth: We continuously raise our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship, and career-advancing resources 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.