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

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

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 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, helping them use generative AI and machine learning to solve real business problems. On a given day, you might:

• Consult with engineers at a large company to architect an AI agent for processing invoice documents, discussing data requirements and tradeoffs between different approaches.
• Prepare and deliver demos for customers evaluating AWS against competitors 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 deep familiarity with its problems, regulations, and data challenges, working with multiple companies within that space.

Between customer engagements, you create resources to share your expertise, such as blog posts, demos, or reference architectures. You also help other technical teams across AWS identify AI/ML opportunities in their customer conversations. Travel is approximately 20-30%, primarily for customer workshops, executive briefings, and AWS events.

Requirements

• 4+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• 2+ 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.
• Experience working within software development or Internet-related industries.
• Experience migrating or transforming legacy customer solutions to the cloud.
• Experience working with AWS technologies from a dev/ops perspective.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP) and mental health support.
• Sign-on payments and restricted stock units (RSUs).
• Endless knowledge-sharing, mentorship, and career-advancing resources.
• Employee-led and company-sponsored affinity groups promoting inclusion and diversity.
• Flexible work culture valuing work-life harmony.

Pay

The base salary range for this position varies by location. Final compensation will be determined based on experience, qualifications, and location, and includes sign-on payments and restricted stock units (RSUs).

Schedule

Travel up to 30% across the United States may be required, primarily for customer workshops, executive briefings, and AWS events.