Lead Engineer, Platform Engineering - AI

Intercontinental Exchange Holdings, Inc.•Pleasanton, CA

About The Position

We are on a mission as a team. We are problem solvers and partners, always starting with our customers to solve their challenges and create opportunities. Our start-up roots keep us nimble, flexible, and moving fast. We take ownership and make decisions. We all work for one company and work together to drive growth across the business. We engage in robust debates to find the best path, and then we move forward as one team. We take pride in what we do, acting with integrity and passion, so that our customers can perform better. We are experts and enthusiasts - combining ever-expanding knowledge with leading technology to consistently deliver results, solutions and opportunities for our customers and stakeholders. Every day we work toward transforming global markets. The AI Platform Engineering Lead drives the AI Platform Operations team, guiding platform strategy, governance, and stakeholder engagement. They align technical execution with business goals, ensuring cost-effective, secure, and scalable AI/ML solutions. The lead also oversees integration and optimization of AI workflow automation tools within a containerized architecture, establishes deployment best practices, and collaborates across teams to set security standards, manage resources, and maintain compliance.

Requirements

8+ years in IT infrastructure or platform engineering roles
3+ years in technical leadership or management positions
1+ years hands-on experience with Kubernetes in production
1+ years working with workflow/orchestrion automation tools
Experience managing teams of 5+ technical staff
Demonstrated success in vendor management and contract negotiation
Strong executive communication and presentation skills
Understanding of AI/ML workloads and infrastructure requirements
Experience with enterprise monitoring and observability tools
Ability to work in a service-oriented team environment
Project Management, organization, and time management
Customer focused, and dedicated to the best possible user experience
Communicate effectively with both technical and business resources
Fluent speaking, reading, and writing in English

Responsibilities

Define platform strategy, roadmap, and capability evolution
Establish governance frameworks, policies, and exception processes
Manage team budget, CapEx planning, and vendor relationships
Build and lead the AI Platform Operations team
Serve as executive liaison for platform matters
Own major incident management and executive communication
Drive continuous improvement and platform maturity initiatives
Align platform capabilities with enterprise architecture standards
Respond to and assist in production operations in a 24/7 environment
Provide technical analysis, resolve problems, and propose solutions
Provide support to, and coordinate with, developers, operations staff, release engineers, and end-users
Educate and mentor team members and operations staff