Job Overview
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 $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.
We are seeking an AI Platform Engineer to design, build, and scale the foundational infrastructure that enables AI-driven development across the organization. This role will focus on building secure, production-grade systems that support intelligent agents, large language models (LLMs), and distributed AI tooling. The ideal candidate combines strong software engineering fundamentals with hands-on experience in AI infrastructure and platform engineering.
Key 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.
Required Qualifications
5+ years of professional software engineering experience, with a proven track record of designing and delivering scalable, production-grade systems.
Demonstrated experience building or supporting AI/ML infrastructure, agent-based systems, or AI-enhanced developer platforms.
Strong expertise in containerization and orchestration technologies, including Docker and Kubernetes, within production environments.
Solid understanding of modern security architecture, including API security, OAuth 2.0 and Keycloak authentication flows, and secure system design principles.
Bonus 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.
Benefits & Compensation
Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues. Some benefits included in this role are:
- Training and development opportunities
- Robust Wellness Resources: Physical, Mental and Financial
- Time-Off, Retirement and Commuter Benefits
- Gym Reimbursement and other Discounts
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. In addition to base compensation, this role is eligible for an annual incentive plan.
