Job Summary

Define and lead enterprise AI architecture strategy, platforms, and standards to enable scalable, secure, and responsible AI adoption across business units. Accountable for end-to-end architecture governance, platform capability, and technical direction to ensure successful delivery of AI/GenAI solutions at scale and measurable business impact.

Job Responsibilities*

• Define and own enterprise AI/GenAI architecture blueprint and standards
• Establish target-state architecture aligned with business and data strategy
• Act as ultimate architecture authority across all AI initiatives
• Ensure integration with enterprise risk, data governance, and cybersecurity standards
• Own strategy and design of enterprise AI platforms, shared services, and reusable components
• Ensure platforms support scalability, reusability, and cross-business adoption
• Provide technical direction and architecture governance across all AI use cases
• Ensure solutions are production-grade, scalable, and aligned with enterprise architecture
• Accountable for architecture quality, system performance, and reliability at scale
• Define standards for monitoring, optimization, and performance tuning
• Define and enforce Responsible AI, security, and compliance architecture frameworks
• Ensure integration with enterprise risk, data governance, and cybersecurity standards
• Act as technical authority for AI risk mitigation
• Own evaluation and selection of AI technologies, tools, and platforms
• Establish enterprise-wide architecture patterns, design standards, and reusable assets

Qualifications

• IT, Data Science, AI – MBA is a plus
• Experience with MLOps/DevOps (CI/CD pipelines, monitoring, model deployment)
• Experience working in complex enterprise environments with data privacy, security, and regulatory requirements
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Claude, Llama, or equivalents)
• Strong background in AI architecture, ML engineering, GenAI system design, or Applied AI
• Deep understanding of RAG, vector stores, embeddings, prompt engineering, guardrails
• Excellent communicator capable or bridging technical teams and business sponsors