What if your architecture became the industry blueprint for agentic AI? As a Principal SA embedded with a Fortune 500 technology leader, you'll architect, design, and build multi-agent systems at massive scale while advising C-Suite executives on AI transformation.
The Opportunity
You'll serve as a trusted technical advisor to a technology company that is actively reshaping their industry using AI. You will be a technical counterpart to customer executives who speak fluent AI and expect their AWS Solutions Architect to match that depth and push the conversation further.
The customer is:
- Deploying specialized AI agents across every stage of the traveler journey - from inspiration to booking to in-trip support
- Pioneering a Business-to-Agent (B2A) marketing paradigm - treating AI agents as a first-class audience
- Building MCP-based infrastructure that opens services to third-party AI agents at massive scale
- Leveraging frontier foundation models for real-time inference, fine-tuning, and agentic orchestration
What Makes This Role Different
This role:
- Shapes the technical agenda for the account and operates at the C-Suite level
- Builds net-new architectures that become the reference
- Focuses on business outcomes
- Influences company-wide AI strategy
- Span GenAI, ML platforms, agentic systems, data, and infrastructure
Key job responsibilities
- Build - create prototypes, reference implementations, and production-ready architectures that prove the value of new AI capabilities at scale
- Serve as the trusted technical voice - shaping the industry-level conversation on AI
- Access the full power of AWS - engage specialist teams, applied science resources, and product groups to deliver outcomes that no single team could achieve alone
- Pioneer new patterns - the solutions you build define how the industry approaches agentic AI, model orchestration, and intelligent automation
- Mentor the next generation - develop Solutions Architects who can operate at this altitude and complexity
A day in the life
This is a builder role. You will:
- Architect agentic AI systems - design multi-agent orchestration frameworks, model fine-tuning pipelines, and real-time inference platforms that serve hundreds of millions of users
- Prototype and prove - build working POCs that demonstrate the art of the possible, turning executive vision into deployable architectures in days, not quarters
- Shape AI product strategy - sit in the room where roadmaps are set, influencing not just how but what gets built, both at the customer and within AWS
- Drive the technical relationship - own the end-to-end technical strategy for the customer
About the team
This role is based in Strategic Accounts Atlas District - a team of limitless builders. The team is at the epicenter of AI innovation. The Atlas District includes the largest AI innovators and creators of foundation models. You'll be a peer to the teams building the foundation models your customer runs at scale. You'll have access to research scientists, product leaders, and engineers pushing the boundaries of what AI can do. The Atlas District is limitless by design, and connected by choice.
BASIC QUALIFICATIONS
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
PREFERRED QUALIFICATIONS
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of database design and implementation or equivalent
- Experience in cloud architecture and CXO level engagement
- Experience leading the design, automation, deployment, and support of large-scale infrastructure
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 210,200.00 - 284,300.00 USD annually
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually
