Cloud Solution Architect - AI Workforce

Define evaluation strategies for agent performance, safety, and compliance using metrics such as task success rate, latency, and failure rate. Mentor peers and guide readiness efforts aligned to corporate priorities like security, resilience, and AI innovation. Customer Centricity Act as the voice of the customer, synthesizing insights to influence product roadmaps and program improvements. Anticipate dissatisfaction, define conditions of success, and ensure a seamless, connected customer experience that accelerates adoption and transformation. Business Impact Deliver operational excellence across engagements by applying governance principles and managing risk proactively. Execute value-based deliverables and prepare customers for operational readiness, long-term adoption, and well-architected, AI-enabled solutions. Identify and capture new opportunities for consumption and usage, collaborating across teams to accelerate deployment and ensure measurable customer impact. Other Embody our culture and values. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ 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 Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 5+ 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 3+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. 2+ years experience working in a customer-facing role (e.g., internal and/or external). 2+ years experience working on technical projects. Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). Advanced experience in Azure/M365 administration, development, and DevOps processes. Proven expertise in Azure AI workloads, Copilot extensibility, and agentic frameworks. Strong understanding of evaluation methodologies for AI systems (offline and real-time). Excellent consultative and stakeholder influence skills. Demonstrated ability to lead technical engagements across global enterprise customers. Experience driving adoption of AI-powered workflows and Copilot extensibility at scale. Strong capability in risk management and governance for AI deployments. Track record of mentoring and enabling technical readiness within diverse teams. Familiarity with Retrieval-Augmented Generation (RAG), multi-agent orchestration, and declarative agent design. Knowledge of compliance frameworks and responsible AI principles. Hands-on experience with metrics-driven evaluation and quality assurance for AI agents.

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