Head of AI Platform Engineering - Scale Enterprise AI

kadence; New York (NY); Hybrid; USD 250,000 - 350,000; Full time

Job summary

Kadence seeks a Vice President of AI Platform Engineering to define and drive the enterprise AI platform strategy across training, deployment, and model serving. You will lead a global team of 35+ engineers, collaborating with security, governance, and product leadership to deliver secure, scalable AI foundations.

The role emphasizes MLOps, data pipelines, governance, and developer experience in a hybrid, multi-location environment. Strong executive communication is essential.

Qualifications

• Significant leadership experience within platform engineering, infrastructure, cloud, or enterprise technology organizations.
• Recent ownership of modern AI platform or AI infrastructure initiatives.
• Experience building or leading platforms used to train, deploy, serve, evaluate, and operate AI workloads at enterprise scale.
• Strong understanding of GPU infrastructure, distributed compute, scalable inference, AI data platforms, and high-throughput pipelines.
• Depth across MLOps, model serving, orchestration, evaluation, observability, governance, and model lifecycle management.
• Experience building internal developer platforms or self-service engineering capabilities.
• A track record of leading major technology transformations over 18–24-month horizons.
• Experience directing large, multidisciplinary organizations and influencing programs involving hundreds of contributors across matrixed teams.
• Demonstrated impact on engineering productivity, platform modernization, operational maturity, reliability, and organizational effectiveness.
• Executive-level communication skills and the ability to connect technical strategy with measurable business outcomes.
• Strong technical credibility, with the depth to challenge architecture decisions and guide principal, staff, and senior platform engineers.

Responsibilities

• Define and execute the enterprise AI platform and infrastructure strategy.
• Build scalable environments for AI training, inference, evaluation, and model serving.
• Lead the development of GPU and accelerator-based compute platforms.
• Establish AI data platforms, high-speed pipelines, and supporting data infrastructure.
• Scale MLOps, model lifecycle management, orchestration, observability, and evaluation capabilities.
• Create self-service AI developer platforms that improve engineering productivity and developer experience.
• Use AI and intelligent automation to improve operational efficiency, reliability, security, and platform performance.
• Establish enterprise standards for AI governance, security, auditability, and production readiness.
• Lead build-versus-buy decisions across AI infrastructure, developer tooling, model platforms, and orchestration frameworks.
• Partner with product engineering, information security, legal, privacy, procurement, and senior business leaders.
• Lead architecture reviews and set the engineering quality bar for AI systems entering production.
• Recruit, develop, and lead a multidisciplinary global engineering organization.

Skills

Leadership experience

AI platform ownership

GPU infrastructure

MLOps

Executive communication

Cross-functional collaboration

Job description

Kadence seeks a Vice President of AI Platform Engineering to define and drive the enterprise AI platform strategy across training, deployment, and model serving. You will lead a global team of 35+ engineers, collaborating with security, governance, and product leadership to deliver secure, scalable AI foundations.

The role emphasizes MLOps, data pipelines, governance, and developer experience in a hybrid, multi-location environment. Strong executive communication is essential.