Vice President, AI Platform Engineering

Vice President, AI Platform Engineering

About the Role

A leading enterprise undergoing a bold AI transformation is seeking a Vice President of AI

Platform Engineering to architect and scale its next-generation AI platform. Reporting directly to the Chief AI Officer, this executive will build the foundation that powers AI-native products and intelligent agentic systems across the organization.

This is a high-impact opportunity to shape the enterprise's AI platform strategy from the ground up - enabling rapid experimentation, deployment, and governance of AI 'll collaborate closely with product, data, infrastructure, and security leaders to convert cutting-edge AI innovation into measurable business outcomes.

Key Responsibilities

• AI Platform Strategy:
  Define and execute the enterprise AI platform vision, ensuring scalability, security, and cost efficiency for AI product and agent development.
• Platform Architecture:
  Design and operate robust AI/ML platforms including model lifecycle management, feature stores, vector databases, orchestration frameworks, observability, and governance tooling.
• Agentic Systems Enablement:
  Build foundational capabilities to support multi-agent systems, LLM deployments with RAG, orchestration frameworks, and agentic SDKs.
• MLOps and LLMOps Excellence:
  Establish CI/CD pipelines, model evaluation, and monitoring systems to ensure safe, fast, and reliable AI deployments.
• Security & Governance:
  Partner across functions to implement responsible AI practices, data privacy controls, auditability, and governance standards.
• Data & Integration:
  Collaborate with Data Engineering on lakehouse architecture, semantic layers, and real-time data flows that power AI applications.
• Cross-Functional Alignment:
  Lead through structured governance forums to ensure AI platform priorities align with enterprise strategy and shared business outcomes.
• Team Leadership:
  Build and lead a world-class AI platform engineering organization with a culture of technical excellence, accountability, and innovation.
• Vendor & Ecosystem Strategy:
  Evaluate and integrate best-in-class AI technologies and cloud solutions to accelerate transformation.
• Optimization:
  Drive performance, reliability, and cost optimization across AI workloads and infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred).
• 12+ years of engineering leadership experience, including 5+ years in AI/ML platform engineering or large-scale distributed systems.
• Proven track record of building and scaling enterprise AI platforms or AI infrastructure at scale.
• Deep expertise in MLOps, LLMOps, modern ML frameworks (e.g., PyTorch, Tensor Flow), vector databases, RAG, and AI agent orchestration.
• Strong understanding of AI security, governance, and operational performance metrics.
• Demonstrated success in product ionizing AI-native applications and integrating agentic workflows into business operations.
• Exceptional communication, strategic influence, and cross-functional leadership skills.

Why Apply?

This is a rare opportunity to shape the foundation of an enterprise-wide AI transformation - with the autonomy, executive visibility, and resources to deliver real innovation  you're passionate about building AI platforms that redefine how organizations operate, we'd love to connect.