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About the Role

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 defines the architecture, standards, and governance across AI/ML infrastructure, workflow automation, and agentic AI capabilities.

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
Define the architecture, standards, and governance for AI/ML infrastructure, including GPU cluster design, compute resource planning, security controls, and observability across the platform
Drive the strategy, standards, and governance for AI-enabled workflow automation across LLM, MCP, and agentic capabilities, ensuring the platform scales securely and operates with consistency across the enterprise
Define the architecture and design standards for vector store infrastructure supporting RAG pipelines, agent memory, and semantic search across the enterprise
Establish design patterns and best practices for RAG workflow implementation, including ingestion strategies, chunking approaches, embedding model selection, and retrieval optimization
Architect agent memory frameworks, defining standards for short-term context, long-term persistent memory, and episodic memory patterns across AI platform workloads
Drive the architecture and governance of Agentic AI systems, including multi-agent orchestration design and tool-use pipeline standards
Define the strategy and architecture for hosting and managing MCP servers across the platform, including deployment topology, security boundaries, and integration standards
Establish governance frameworks and policies for MCP server lifecycle management, versioning, and access control
Evaluate and select MCP server tooling and vendors; manage relationships and roadmap alignment
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

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
Direct experience with GPU infrastructure (NVIDIA preferred)
2+ years experience using CUDA
1+ years experience using MCPs
2+ years experience with vector databases and embedding infrastructure
2+ years experience with RAG pipeline design and deployment
2+ years experience with agent memory patterns (in-context, external stores, retrieval-augmented memory)
1+ years experience with agentic AI systems using orchestration frameworks
2+ years experience with semantic search, embedding models, and ANN search techniques
3+ years working with workflow/orchestration 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

Skills

Kubernetes
GPU infrastructure
NVIDIA
CUDA
MCPs
Vector databases
Embedding infrastructure
RAG pipeline design
Agent memory patterns
Agentic AI systems
Orchestration frameworks
Semantic search
Embedding models
ANN search techniques
Workflow automation tools
Enterprise monitoring tools
Observability tools

Location

Illinois
New York
California

Work Type

Onsite

Experience Level

8+ years in IT infrastructure or platform engineering roles
3+ years in technical leadership or management positions

Education Level

Bachelors Degree in engineering discipline or equivalent experience in Systems Engineering / Development

Salary/Compensations

Illinois Base Salary Range: $133,900 - 154,500 USD
New York Base Salary Range: $149,400 - 180,000 USD
California Base Salary Range: $149,400 - 180,000 USD

Benefits

healthcare coverage (medical, dental and vision)
a 401(k) plan
life insurance
time off
paid leave for qualifying circumstances

About the Company

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.