Lead AI Engineer

Xcede; San Francisco (CA); On-site; USD 200,000 - 500,000; Full time

Benefits offered by this job

Annual bonus

Job summary

A global hedge fund is seeking an AI Platform Engineer to lead the development and management of cutting-edge AI infrastructure. The successful candidate will design and manage federated AI ecosystems, handling complex enterprise environments. This role requires 8+ years of software development experience and expertise in AI/ML infrastructure, cloud platforms, and enterprise architecture. The position offers a competitive salary range of $200,000 - $500,000 annually.

Qualifications

• 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.
• Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.
• Strong understanding of enterprise software architecture patterns and distributed systems design.
• Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.
• Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.
• Background in building federated systems or multi-tenant AI platforms.

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 for agent communication.
• Accelerate code review processes using AI agents for automated analysis.
• Establish robust monitoring and security frameworks for AI agent operations.

Skills

Software development

AI/ML infrastructure

Cloud platforms (AWS, Azure, GCP)

Enterprise software architecture

Distributed systems design

Tools

Infrastructure-as-code tools

AI agent frameworks

Job description

A top global hedge fund is looking for an AI Platform Engineer to lead the development and management of cutting-edge AI infrastructure for our complex enterprise environment. This hire will 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.

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.

Qualifications:

• Experience: 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.
• AI Infrastructure: Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.
• Enterprise Architecture: Strong understanding of enterprise software architecture patterns and distributed systems design.
• Cloud Platforms: Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.
• Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.
• Background in building federated systems or multi-tenant AI platforms.

The base pay range for this position is $200,000.00/yr - $500,000.00/yr, with additional compensation types including an annual bonus.

We are an equal opportunities employer and welcome applications from all qualified candidates.