AI Infrastructure Engineer

Responsibilities

• Build Intelligent Agent Platforms by designing orchestration frameworks and secure execution environments
• Architect scalable AI infrastructure to support distributed agent development across business units
• Oversee AI Agent Operations and manage agent lifecycles to ensure alignment with security policies
• Develop Agent Communication Systems using Model Context Protocol (MCP) services
• Implement governance, monitoring, observability, and security frameworks for AI operations
• Drive organizational adoption by partnering with teams to promote AI infrastructure best practices

Requirements

• 5+ years of professional software engineering experience
• Proven track record of delivering scalable, production-grade systems
• Demonstrated experience managing Kubernetes in a production environment
• Expertise in building AI/ML infrastructure or agent-based systems
• Solid understanding of modern security architecture, API security, and OAuth 2.0

Preferred Qualifications

• Hands-on experience with AI agent frameworks or LLM integrations
• Experience with Model Context Protocol (MCP) implementations
• Experience designing multi-tenant or federated AI platforms
• Familiarity with enterprise AI governance and compliance frameworks
• Background in cybersecurity or penetration testing
• Experience with AI-assisted development tools and automated code generation

Benefits

• Training and development opportunities
• Robust Wellness Resources (Physical, Mental, and Financial)
• Time-Off, Retirement, and Commuter Benefits
• Gym Reimbursement and other Discounts
• Annual incentive plan eligibility

About the Company

Capstone Investment Advisors is a global asset manager dedicated to exploring alpha opportunities in derivatives and complementary strategies. With approximately $12.5 billion of AUM, Capstone leverages advanced technology and strategic insight to navigate complex global markets.