AI Infrastructure Engineer

Capstoneinvestmentadvisors; New York (NY); On-site; USD 165,000 - 200,000; Full time

Benefits offered by this job

Training and development opportunities

Robust wellness resources

Time-off and retirement benefits

Gym reimbursement

Commuter benefits

Job summary

Capstone Investment Advisors is looking for an AI Infrastructure Engineer to design and build the foundational infrastructure for AI-driven development. You'll focus on creating production-grade systems to support intelligent agents and large language models.

Ideal candidates will have a strong software engineering background and hands-on experience with AI infrastructure and Site Reliability Engineering. Join us and be a part of innovative AI solutions that shape the future.

Qualifications

• 5+ years of professional software engineering experience.
• Experience managing Kubernetes in a production environment.
• Expertise in supporting AI/ML infrastructure.

Responsibilities

• Design and implement orchestration frameworks for LLM-powered tools.
• Develop scalable infrastructure for distributed agent development.
• Manage agent lifecycles ensuring compliance with standards.
• Build and maintain Model Context Protocol services.
• Establish monitoring and security frameworks for AI operations.
• Promote AI infrastructure best practices across teams.

Skills

Software engineering

Kubernetes management

AI/ML infrastructure

API security

Job description

We see the world differently at Capstone Investment Advisors. You will, too.

Overview

We are seeking an AI Infrastructure 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 Site Reliability Engineering (SRE) experience.

Responsibilities and Impact

• 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 Skills

• 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.

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.
• Intellectual curiosity, the openness to share ideas, humility, the highest ethical standards and a desire to excel.
• To thrive at Capstone, a keen curiosity about technology and artificial intelligence is essential, as we continually drive innovation and enhance our strategic capabilities.

Benefits and 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. 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.

To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Equal Opportunity Employer

Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.