Head of AI Platform Engineering, Execution Plane
Hiring Company

The hiring company name is
confidential for this listing.
Reveal this information
Enter your email to continue
Welcome back!
We're having trouble finding your sign-in details. Please try again later.
Having a resume & LinkedIn profile that stands out is important when applying to opportunities.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
Shoot! There seems to be an error when submitting your resume to TopResume. If you continue experiencing issues submitting your resume please let us know.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
About the Role
Greater New York City, NY Area (Hybrid)
The Company is in search of a Head of AI Platform Engineering to take on a pivotal role in the design, development, and operation of its AI execution platform. The successful candidate will be responsible for leading and developing engineering teams that focus on AI execution and runtime platforms, defining and executing roadmaps for AI execution services, and ensuring the scalability, reliability, and observability of runtime systems that support production AI workloads. This leadership position demands a deep technical understanding of modern platform architecture, APIs, and enterprise integration strategies, as well as the ability to drive engineering excellence and meet enterprise security, governance, and compliance requirements. Applicants for the Head of AI Platform Engineering role at the company should have a Bachelor's or Master's degree in computer science, engineering, or a related field, with a proven track record of leading software engineering teams and a strong background in large-scale distributed systems and cloud-native platforms. Experience in AI/ML platforms, orchestration layers, and production AI operations is essential, as is a deep understanding of CI/CD practices, infrastructure automation, and enterprise security principles. The ideal candidate will also have expertise in areas such as agentic AI systems, LLM platforms, and MLOps, and a background in regulated industries where security and compliance are critical. Excellent communication skills and the ability to influence both technical and business stakeholders are also required.
Functions:
- Engineering
Compensation
USD $180,000-$240,000 (salary) per year
About the Company
Develops secure, scalable AI infrastructure for enterprise-wide adoption of AI capabilities
Industry
Information Technology and Services
Type
Privately Held
Having a resume & LinkedIn profile that stands out is important when applying to opportunities.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
The listing you are looking for is no longer accepting applications.
Click here to view other opportunities.
Reveal this information
Enter your email to unlock hidden details
Welcome back!
We're having trouble finding your sign-in details. Please try again later.


