Principal Solutions Architect, Bedrock Customer Success - AWS Mantle

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.

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.

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

Key job responsibilities

As a Principal Solutions Architect on the Customer Success side of Mantle, you will be the connective tissue between our customers' most ambitious generative AI goals and the production-ready reality of operating AI inference at enterprise scale. Your success is measured not by designs delivered, but by customer outcomes achieved—production workloads launched, performance targets met, and business value realized.

Own structured success planning for strategic customer accounts, including executive business reviews, adoption milestones, and proactive health monitoring to ensure customers achieve their AI inference goals on Mantle and Amazon Bedrock

Architect production-ready inference solutions leveraging Mantle’s distributed engine, Zero Operator Access security model, and OpenAI-compatible APIs—optimizing for customer-specific requirements around latency, throughput, cost, and compliance

Lead deep-dive technical engagements to resolve complex production challenges, including model performance tuning, capacity planning, multi-region deployment strategies, and integration patterns with customers' existing ML pipelines

Gather, decompose, and prioritize customer feedback across many accounts and use cases—translating pain points into actionable product roadmap inputs for Mantle engineering teams, including PR/FAQ creation and feature prioritization influence

Create and evangelize reference architectures, best practices, and reusable patterns…