Principal Cloud Solution Architect, AI Data, Partner Solutions

Provide architecture guidance, best practices, and hands‑on technical enablement across Azure ML and AI workloads Help partners address gaps in solution design, readiness, governance, observability, guardrails, security, and Responsible AI Support the evolution from traditional applications to AI‑ and ML-driven, agent‑based, and conversational experiences Build working prototypes and reference implementations to accelerate partner solution development Advise partners on AI and Azure ML cost architecture and consumption economics, including token-based pricing models, provisioned throughput planning, and model selection for cost and performance optimization Deliver strategic business and technical AI and ML transformation discussions to enable and accelerate partners on their Frontier journey Guide partners in creating repeatable, transactable, outcome‑based AI offerings, not one‑off projects Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. 6+ years experience working in a customer-facing role (e.g., internal and/or external). 6+ years experience leading technical projects. Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). 6+ years of experience presenting AI strategy and architecture to CxO-level stakeholders. 6+ years of Experience building AI consumption and cost governance architectures, including token economics, and capacity planning for LLM workloads. 6+ years Experience designing and building mission-critical AI applications on Azure. Background in building custom Machine Learning and Deep Learning models.