SVP, AI Deployment – Solution Leader

• Serve as the organization's senior AI deployment and solutions architecture leader, providing strategic and technical direction on AI platforms, services, models, and implementation approaches.
• Guide business and technology teams in evaluating AI opportunities, selecting the appropriate technologies, and designing scalable AI solutions.
• Establish enterprise architectural standards and reusable design patterns for AI applications, ensuring solutions can scale beyond pilots and proofs of concept.
• Provide expert guidance on Azure AI and AWS AI platforms, including AI Foundry, Azure OpenAI, Azure Machine Learning, Amazon Bedrock, and related services.
• Define and govern a unified enterprise AI technology stack aligned with data, security, governance, and cloud strategies.
• Oversee deployment of highly available, secure, compliant, and resilient AI solutions in production.
• Drive enterprise AI adoption through training, best practices, self-service capabilities, and technical enablement programs.
• Lead and develop a multidisciplinary team of AI architects, ML engineers, platform engineers, data scientists, and technical specialists.

• Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent experience
• 12+ years of technology leadership experience, including significant experience leading AI, machine learning, cloud architecture, platform engineering, or related functions
• Deep expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and broader Azure cloud capabilities, with Azure serving as the primary enterprise AI platform
• Strong knowledge of AWS AI services, including Amazon Bedrock, Sage Maker, and related cloud-native AI capabilities
• Demonstrated ability to evaluate, architect, and deploy AI solutions that successfully scale from proof of concept to enterprise-wide production environments
• Extensive experience providing technical and architectural guidance on AI platforms, solution design, implementation approaches, and operational readiness
• Strong understanding of enterprise architecture, cloud-native application development, distributed systems, APIs, data platforms, AI infrastructure, and integration patterns
• Experience establishing MLOps practices, AI governance frameworks, operational standards, and production support models
• Experience with agentic AI frameworks and technologies, including Lang Chain, Lang Graph, Azure AI Foundry, Amazon Bedrock, and AI capabilities integrated within enterprise software platforms
• Proven ability to design scalable, reusable, and secure AI architectures that maximize business value while minimizing operational complexity and technical debt
• Strong executive presence with demonstrated success influencing senior business and technology leaders
• Proven people leadership experience leading highly technical, multidisciplinary teams

Demonstrates expertise in AI deployment and solutions architecture, with a strong focus on Microsoft Azure AI services and AWS AI capabilities. Proven ability to lead multidisciplinary teams in designing scalable AI solutions aligned with enterprise architecture and governance standards.

• Microsoft Azure AI Services
• AWS AI Services
• AI Solutions Architecture
• MLOps Practices
• Technical Leadership

• AI Deployment
• Machine Learning
• Cloud Architecture
• Solution Design
• Enterprise Architecture
• Distributed Systems
• Data Platforms
• Integration Patterns
• Operational Readiness
• AI Governance Frameworks

• Executive Presence
• Influencing Leadership
• Team Leadership

• Master's Degree in Computer Science
• Master's Degree in Engineering
• Master's Degree in Artificial Intelligence
• Master's Degree in Data Science

• AI Platforms
• Cloud-Native Applications
• AI Infrastructure
• Scalable Solutions
• Technical Enablement

• Azure AI Foundry
• Azure OpenAI
• Azure Machine Learning
• Amazon Bedrock
• Sage Maker
• Lang Chain
• Lang Graph