Senior Cloud Architect, ML/AI

Job Overview

This role involves leading the design and implementation of production-grade ML and Generative AI solutions on AWS, acting as a hands-on expert and trusted advisor for customers with AI/ML workloads. Depending on needs, it may align with Field Engineering (pre-sales and GTM) or FDE Delivery (customer health and product adoption), focusing on secure, reliable, and cost-efficient cloud architectures.

Responsibilities

• Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration layers.
• Own technical success of engagements by defining outcomes, making tradeoffs visible, and ensuring production-ready designs (security, reliability, performance, cost).
• Provide opinionated guidance on GenAI architectures (e.g., Amazon Bedrock, SageMaker, Q) and their integration with existing systems.
• For Field Engineering: Partner with teams to shape and win opportunities, lead technical POVs and CloudBuild engagements, and build technical narratives and demos for revenue-generating motions.
• For Delivery: Act as named technical advisor for customers, lead proactive engagements to unblock issues, and participate in account-team routines to align AI/ML architectures with goals.
• Help evolve internal and customer AI/ML usage by turning solutions into reusable patterns influencing the product roadmap.

Qualifications

• Expertise in leading production-grade ML and Generative AI solutions on AWS, with awareness of multi-cloud environments.
• Hands-on experience as a trusted advisor for customers running AI/ML workloads at scale, from discovery to deployment and optimization.
• Ability to translate complex business problems into secure, reliable, cost-efficient, and observable cloud architectures.
• Experience in pre-sales, POVs, CloudBuild engagements, or delivery-focused customer health and product adoption for Field Engineering or Delivery paths.