Job description
iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025.
iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below).
About the Role
iCapital is seeking an experienced and forward-thinking AI/ML Engineer Vice President with a strong engineering background and experience leading technical teams. The ideal candidate thrives at the intersection of AI/ML systems engineering, platform development, and intelligent agent design. This individual will play a key role in building and scaling AI capabilities across our platform, with a focus on production-grade systems rather than data science. If you are passionate about developing systems that go beyond traditional ML models—systems that can reason, plan, and act in dynamic environments using tools, APIs, and memory—this is the role for you. While this is primarily a hands-on engineering position, this role will also provide technical leadership, mentor junior engineers, and collaborate cross-functionally to shape our AI strategy and execution.
Responsibilities
- Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform.
- Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications.
- Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior.
- Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems.
- Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems.
- Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment.
- Provide technical mentorship and guidance to engineers, contributing to team growth and best practices.
- Partner with Data Science teams to operationalize models, ensuring a smooth transition from experimentation to production.
- Contribute to technical roadmaps and help define long-term AI/ML platform and agent strategy.
- Optimize agent performance for latency, reliability, and safety in production environments.
- Stay current with the latest research and tools in LLMs, multi-agent systems, and cognitive architectures.
- Contribute to the development of internal libraries, best practices, and reusable components for agentic systems.
Qualifications
8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems
Proven experience in building and deploying ML models in production environments
Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems)
Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring
Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker
Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures
Familiar with various LLM inference engines such as vLLM or SGLang
Experience in integrating agents with APIs, databases, and external systems
Familiar with retrieval-augmented generation (RAG), vector databases, and knowledge graphs
Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and utilizing containerization tools (Docker, Kubernetes)
Demonstrated ability to lead projects or small teams, with excellent communication and collaboration skills
Bachelor’s or master’s degree in computer science, engineering, or a related field
Experience with LLMs, generative AI, or multi-agent systems in production is a plus
Background in distributed systems or real-time data processing is a plus
Experience in the finance industry is a plus
Benefits
The base salary range for this role is $180,000 to $220,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
