Technical Architect

The Senior AI Architect owns the enterprise AI architecture and capability strategy, ensuring AI, data science, and agentic platforms are designed as scalable, governed, and monetizable enterprise capabilities
.

This role bridges AI technology, platform productization, and business value
, ensuring AI investments directly support portfolio strategy, revenue growth, and long-term operating model maturity—not just technical enablement.

The 2026 roadmap significantly increases reliance on advanced AI capabilities, including:

• Agentic AI platforms for SMB self-service
• AI-powered audience targeting (RMN / AdTech)
• FDP-based analytics and data monetization

These initiatives require strong architectural leadership to ensure:

• AI capability reuse and platform leverage
• AI built as a core enterprise platform layer
• Clear alignment between AI investment and monetization outcomes
• Scalable, secure, and governed AI operations

• Define and own the enterprise AI reference architecture covering:
• Agentic AI platforms
• AI service orchestration and APIs
• Model hosting and inference
• Prompt and agent frameworks
• AI service integration patterns
• Design AI platforms that:
• Convert AI capabilities into reusable, composable services
• Enable multi-tenant AI for SMB and digital platforms
• Support AI as a monetizable platform component
• Embed AI as a foundational platform layer across:
• CVMaaS
• SMB One
• FDP
• Align AI architecture decisions with:
• Value realization and revenue targets
• Time-to-market objectives
• Ensure AI capabilities measurably support:
• Revenue growth
• Operational efficiency
• Platform differentiation
• Define and govern enterprise AI frameworks covering:
• Ethical and responsible AI
• Data lineage, traceability, and auditability
• Act as an escalation point for AI-related:
• Security risks
• Regulatory and compliance concerns

• Mentor and guide AI Solution Architects and platform teams
• Set technical direction for:
• The AI Enablement team
• Cross-ART and cross-platform AI initiatives
• Represent AI architecture in executive, portfolio, and governance forums

• 10+ years in architecture roles across AI, data, or digital platforms
• Strong background in:
• Agentic AI or advanced AI orchestration
• MLOps and model lifecycle management
• Platform and API-driven architectures
• Experience aligning AI strategy with business, product, or revenue outcomes
• Ability to operate at both deep technical and executive strategy levels

• Experience in SMB, AdTech, Mar Tech, or data monetization platforms
• Exposure to regulated or large-scale enterprise environments
• Prior ownership of AI governance or risk frameworks