Principal Solutions Architect, Bedrock Customer Success - AWS Mantle (Seattle)

Description

Are you a strategic technical leader who measures success by the measurable business outcomes your customers achieve? We are seeking a Principal Solutions Architect within our Customer Success organization to serve as the trusted technical advisor to our most strategic enterprise customers adopting generative AI inference at scale through AWS Mantle and Amazon Bedrock. In this role, you will own the post-sales customer journey end-to-end—from initial adoption through production optimization and value realization—driving clarity in high-ambiguity environments where customers' AI strategies, operating models, and success criteria may not yet be defined. You will work backwards from customer outcomes to architect solutions, remove adoption barriers, and ensure customers achieve transformational business results.

Key responsibilities

• Serve as the primary strategic technical advisor to customers' senior and executive stakeholders, shaping their long-term AI inference strategies and guiding them from proof-of-concept through production at scale on AWS Mantle
• Own customer transformation health end-to-end—proactively identifying adoption barriers, architecting solutions to overcome them, and driving measurable value realization (latency improvements, cost optimization, time-to-production)
• Operate with complete independence in deeply ambiguous engagements where the customer's business objectives, technology strategy, and success criteria are not yet defined—driving clarity and creating the path forward
• Influence AWS product and engineering roadmaps by synthesizing customer feedback patterns, articulating unmet needs, and championing the customer perspective with internal leadership
• Establish scalable customer success methodologies, frameworks, and playbooks that accelerate adoption of Mantle's inference capabilities across the broader customer base

About The Team

The AWS Mantle Customer Success team ensures that enterprise customers successfully adopt, scale, and realize measurable business value from generative AI inference on Amazon Bedrock. We sit at the intersection of our customers' ambitions and Mantle's technical capabilities—working backwards from business outcomes to deliver production-ready AI solutions. Our Zero Operator Access architecture means customers can trust that no person—whether from AWS, a customer, or a model provider—can ever access their inference data, and we help them understand and operationalize that trust in their environments.

• We are customer-obsessed, measuring our success by production workloads launched, adoption velocity, and quantifiable business impact our customers achieve
• We partner deeply with Mantle engineering, product, and go-to-market teams—serving as the voice of the customer and driving feedback loops that shape the platform's evolution
• We foster a collaborative, inclusive environment where diverse perspectives drive better customer outcomes—and where creative problem-solving is valued over rigid process
• We support customers across industries adopting models from OpenAI, Anthropic, DeepSeek, Google, Mistral, NVIDIA, and more—each with unique scale, compliance, and performance requirements
• We believe the best customer experiences come from teams that are curious, empathetic, and relentless about removing friction from the path between ambition and production

Basic Qualifications

• 10+ years of managing a technical team of solution architects, sales engineers or similar technical roles experience
• 8+ years of cloud architecture and solution implementation experience
• Experience working with, presenting to and influencing senior executives up to VP level
• Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience

Preferred Qualifications

• Master's degree in computer science, machine learning, engineering, or related fields, or PhD
• Deep expertise in generative AI, ML inference systems, or model-serving architectures (e.g., Amazon Bedrock, SageMaker, vLLM, TensorRT)
• Experience designing customer success frameworks, adoption playbooks, or structured value realization methodologies for emerging technology platforms
• Proven thought leadership—publishing white papers, presenting at industry conferences, or contributing to open-source projects in AI/ML
• Experience with security-first architectures including zero-trust, confidential computing, or data sovereignty requirements in regulated industries (financial services, healthcare, government)
• Ability to synthesize complex, cross-customer feedback into strategic product recommendations that influence engineering roadmaps

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - Amazon Web Services, Inc.

Job ID: A10480021