AI / ML Engineer (Software Engineering) - Vice President

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. 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, focusing 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, it will also involve providing technical leadership, mentoring junior engineers, and collaborating 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. Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker. Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures. Experience with various LLM inference engines such as vLLM or SGLang. Experience in integrating agents with APIs, databases, and external systems. Familiarity with retrieval-augmented (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 comprehensive compensation package including salary, equity, and an annual performance bonus. Employees also receive benefits such as a retirement plan, subsidized healthcare, parental leave, and unlimited PTO. Employees are expected to work in the office Monday-Thursday, with remote work on Fridays. For more information, visit

https://www.icapitalnetwork.com/about . Follow us on

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and Twitter. iCapital is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, gender, age, veteran status, disability, or other protected characteristics.

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