AI Platform Engineer Lead

About this role

We’re seeking a AI Platform Engineer to lead the development and management of cutting-edge AI infrastructure for our complex enterprise environment. In this role, you’ll harness your expertise to build infrastructure which enables your team and the firm to manage autonomous agents, machine learning systems and other applications in the AI domain.


You’ll design and manage federated AI ecosystems, including MCP servers, agents and enterprise AI tooling, while orchestrating agent deployment across distributed systems and service buses. This role demands technical depth, strong communication, and a passion for building transformative AI infrastructure.


If you’re ready to shape the future of AI and thrive in a fast-paced, innovative environment, we want to hear from you!


Key Responsibilities

• Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.
• Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.
• Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise service bus integration.
• Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.
• Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.
• Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.
• Collaborate with development teams to integrate AI-powered tools into existing workflows and CI/CD pipelines.
• Act as a deployed engineer, traveling to different teams across the firm to teach AI infrastructure best practices and guide adoption.
• Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.
• Mentor ...