AI Infrastructure Engineer

About Us

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $12.5 billion of AUM (as of May 1, 2026) and 306 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, we have sought to anticipate and harness the complexities of world markets through strategic insight, market-leading expertise, and advanced technology. Our sophisticated, global client base drives our success, which is deeply connected to our team. We take a human approach to everything we do, emphasizing collaborative performance and shared ideas to achieve greater outcomes.

Responsibilities

• Build Intelligent Agent Platforms: Design and implement orchestration frameworks and secure execution environments that enable LLM-powered tools and agent-based workflows.
• Architect AI Infrastructure: Develop scalable infrastructure that supports distributed agent development and deployment across multiple teams and business units.
• Oversee AI Agent Operations: Manage agent lifecycles and ensure AI-generated outputs—including code—align with architectural standards, security policies, and engineering best practices.
• Develop Agent Communication Systems: Build and maintain Model Context Protocol (MCP) services and supporting infrastructure to enable reliable communication, coordination, and integration with enterprise systems.
• Implement Governance & Security Controls: Establish monitoring, observability, compliance, and security frameworks to ensure safe and responsible AI operations at scale.
• Drive Organizational Adoption: Partner directly with teams across the firm to promote AI infrastructure best practices, provide hands-on guidance, and support adoption of AI-augmented development workflows.

Requirements

• 5+ years of professional software engineering experience, with a proven track record of designing and delivering scalable, production-grade systems.
• Demonstrated experience managing Kubernetes in a production environment.
• Expertise in building and supporting AI/ML infrastructure, agent-based systems, or AI-enhanced developer platforms.
• Solid understanding of modern security architecture, including API security, OAuth 2.0 and Keycloak authentication flows, and secure system design principles.

Preferred Skills

• Hands-on experience with AI agent frameworks, LLM integrations, or Model Context Protocol (MCP) implementations.
• Experience designing multi-tenant or federated AI platforms operating across distributed environments.
• Familiarity with enterprise AI governance, compliance frameworks, and operational risk controls.
• Background in cybersecurity, security architecture, or penetration testing.
• Experience working with AI-assisted development tools, automated code generation, and modern testing frameworks.
• Intellectual curiosity, openness to sharing ideas, humility, high ethical standards, and a desire to excel.

Benefits

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental, and Financial
• Time-Off, Retirement, and Commuter Benefits
• Gym Reimbursement and other Discounts

Pay

The applicable base salary range for this role is $165,000-$200,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives and an annual incentive plan.

Culture

• Experimentation: We encourage fresh ideas and innovation, giving you the freedom to try new things and shape our strategies.
• Collaboration: We value teamwork and a supportive community where everyone’s input matters.
• Trust: We build strong, honest relationships where contributions are respected and integrity is key.
• Discipline: We commit to high standards and a disciplined approach to help you grow personally and professionally.