Senior Specialist Solutions Architect - Agentic AI, AGS Specialist Solutions Architects

About the role

AWS Global Sales (AGS) drives adoption of the AWS cloud worldwide, empowering customers of all sizes to innovate and expand in the cloud. Our team enables customers to grow by providing tailored service, unmatched technology, and support for Agentic AI/ML use cases. As a Senior Generative AI & ML Specialist Solutions Architect, you will be a senior individual contributor requiring deep technical expertise, customer engagement at both developer and executive levels, and the ability to deliver impactful technical thought leadership through 1:many webinars and workshops with excellent public speaking skills.

The AGS Specialist organization is part of the customer-facing North America (NAMER) sales organization, responsible for driving revenue and accelerating adoption of cloud and partner services across diverse customer segments. We work backwards from our customers’ most complex and business-critical challenges to develop and execute go-to-market plans that transform ideas into scalable, high-impact businesses.

Responsibilities

• Educate and influence customers at scale (60% of time) with deep technical knowledge, thought leadership, and excellent communication skills via 1:many webinars, hands-on workshops, AWS blogs, and GitHub solutions to accelerate building/enhancing Agentic AI applications.
• Engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers in 1:1 settings to understand pain points and influence architectural decisions.
• Design solutions leveraging AWS cloud platform and AI/ML services, including SageMaker, Amazon Bedrock, Amazon AgentCore, Kiro, Amazon Rekognition, Amazon Transcribe, Amazon QuickSight, Amazon Personalize, and other AI/ML services.
• Demonstrate expertise in ML and AI concepts such as model fine-tuning, MLOps, LLMs, RAG, prompt engineering, token & latency optimization, agent evaluations, AI governance, MCP servers, context engineering, security & safety for AI agents, and loop engineering.
• Build rapid proof-of-concepts for Agentic AI and ML applications based on customer needs.
• Partner with Solutions Architects, Sales, Business Development, and AI/ML Service teams to accelerate customer adoption and revenue attainment in the Americas for AWS services.
• Evangelize AWS ML services and share best practices through AWS blogs, whitepapers, reference architectures, and public-speaking events (e.g., AWS Summit, AWS re:Invent).
• Act as a technical liaison between customers and AWS service teams (e.g., Amazon Bedrock) to provide customer-driven product improvement feedback.
• Advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term strategy.
• Develop and support an AWS internal community of GenAI subject matter experts in the Americas.

A day in the life

• Lead architecture and best practices discussions on security, safety, costs, latency, and accuracy aspects of AI applications.
• Rapidly develop proof-of-concept (POC) or demos within hours for upcoming customer conversations.
• Contribute to AWS blogs and test new AWS service features before release.
• Provide detailed, data-driven feedback to AWS service teams for product enhancements.
• Create slides and demos for webinars and hands-on workshops involving AI/ML, network, storage, database, and analytics services.
• Lead, orchestrate, and deliver 1:many webinars and workshops.
• Engage with business and technical leaders in 1-2 day experience-based acceleration events.
• Collaborate with sales and demand generation teams to drive webinar/workshop registrations, attendance, and follow-ups.
• Provide weekly market and customer insights for monthly business reviews with AWS service and sales leaders.
• Propose ideas via 1-pager documents and seek feedback from peers and leaders.
• Mentor, hire, and develop top talent on technical and leadership skills.
• Develop agentic skills and automation to reduce manual processes and improve team productivity.

About the team

The AWS Global Sales AI/ML Specialist Solution Architecture team dives deep into the AI/ML space, empowering customers to grow with tailored service and unmatched technology. We work backwards from each customer’s unique challenges to craft innovative solutions that accelerate their success. This customer-first approach is how we built the world’s most adopted cloud.

Requirements

• 8+ years of experience in specific technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 3+ years of experience in design, implementation, or consulting for applications and infrastructures.
• 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent.
• Knowledge of software development tools and methodologies.
• 2+ years of experience working with Data & AI-related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage.
• Hands-on experience with AI services in AWS, Azure, or GCP.

Preferred Qualifications

• Experience working with end-user or developer communities.
• Cloud Technology Certification (e.g., Solutions Architecture, Cloud Security Professional, or Cloud DevOps Engineering).

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with optional supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Pay

USA, WA, Seattle - $153,600.00 - $207,800.00 USD annually.