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

About the role

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow 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.

As a GenAI/ML Solutions Architect, you will be the Subject Matter Expert for helping customers in the United States design solutions leveraging our 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 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, 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 AWS 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 AWS internal community of GenAI-related subject matter experts in the Americas, enabling field teams to identify, qualify, and position generative AI and agentic AI opportunities with their customers.

A day in the life

Most of your time is spent working directly with customers, helping them figure out how to use generative AI and machine learning to solve real business problems. On a given morning, you might be on a video call with a team of engineers at a large insurance company who want to build an AI agent that can process claims documents. You're sketching out an architecture on a virtual whiteboard, asking questions about their data, and helping them think through tradeoffs between different approaches.

That afternoon, you're prepping a demo for a different customer who's evaluating AWS against a competitor for a conversational AI use case. Later in the week, you're on-site running a workshop where a customer's ML team is building their first retrieval-augmented generation pipeline with you guiding them through it hands-on.

You're typically focused on a single industry (e.g., financial services, healthcare, or manufacturing), so you build real familiarity with the problems, regulations, and data challenges in that space. You'll work with many different companies within your industry rather than being embedded at one or two for years. Some engagements last a few weeks, others stretch over a couple months, but the variety keeps things interesting.

Between customer conversations, you're building resources to help others learn: writing blog posts about patterns you've seen work well, recording demos, or creating reference architectures that your peers across the country can reuse. You're also helping other technical teams understand how to spot AI/ML opportunities in their customer conversations.

Occasionally, you might present a customer success story at re:Invent, get early access to a new service and help shape its development, or explain agentic AI to a Fortune 500 CTO in an executive briefing. Travel runs about 20-30%, mostly for customer workshops, executive briefings, and AWS events.

Requirements

• Deep technical experience working with technologies related to generative AI, machine learning, and/or deep learning.
• 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 (model providers, orchestration frameworks, vector databases, evaluation tools).
• Experience with solution architecture and production ML systems.
• A strong mathematics and statistics background is preferred.

Qualifications

Basic Qualifications

• 8+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 3+ years of design, implementation, or consulting experience in applications and infrastructures.
• Experience in a technical role within a sales organization.

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/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 in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and 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.

Benefits

• Inclusive Team Culture: AWS values curiosity and connection. 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: Continuous learning and mentorship opportunities help you develop into a better-rounded professional. We strive to become Earth’s Best Employer by raising our performance bar.
• Work/Life Balance: We value work-life harmony and strive for flexibility as part of our working culture. Achieving success at work should never come at the expense of sacrifices at home.