AI Architect - Enterprise Strategy & Transformation

• Strategic Technology Foresight & AI Roadmapping:
• Develop an integrated AI & Emerging Tech strategy covering various technologies such as Machine Learning, Generative AI, Cloud-native platforms, Edge Computing, APIs, and automation frameworks.
• Conduct strategic assessments on evolving technology trends and their impact on capability design, operating models, and workforce transformation.
• Use Case Architecture & Value Prioritization:
• Translate business challenges into AI-enabled use cases, perform technical feasibility studies, and define value hypotheses.
• Maintain a prioritized AI use case backlog tied to enterprise strategy, supported by ROI-driven phasing and maturity mapping.
• Portfolio & Capability Transformation Planning:
• Define the future-state capability portfolio, including shifts in tooling, data integration, automation layers, and human-AI interaction models.
• Lead the design of AI skilling pathways to prepare the workforce for the future of human-AI collaboration.
• Governance, Architecture & Platform Integration:
• Establish robust AI governance frameworks covering explainability, data stewardship, lifecycle ownership, and compliance.
• Ensure AI initiatives align with enterprise standards, DevSecOps practices, and target-state platform convergence.
• Market & Ecosystem Leadership:
• Monitor market shifts and vendor roadmaps to inform build vs. buy decisions.
• Shape executive narratives, investment cases, and transformation blueprints to secure alignment and sponsorship.

Qualifications & Skills required for this role include:

• 12+ years of experience in AI, emerging technology, or enterprise architecture roles, with leadership exposure.
• Deep expertise in AI/ML concepts, model lifecycle management, LLMs, MLOps, and enterprise integration patterns.
• Strong knowledge of cloud computing platforms, edge architectures, API management, and automation frameworks.
• Proven experience in tech portfolio rationalization, roadmap design, and capability operating model development.
• Familiarity with TOGAF, Zachman, SAFe, ITIL frameworks.
• Ability to thrive in ambiguity and shape strategies in large-scale, federated organizations.
• Excellent communication, stakeholder management, and storytelling skills.

Preferred qualifications include exposure to business analysis, quality engineering, or experience design practices, as well as experience leading enterprise AI adoption initiatives in regulated/global organizations.,