iCapital
AI / ML Engineer (Software Engineering) - Vice President New York, New York, Uni
iCapital, Salt Lake City, Utah, United States, 84193
New York, New York, United States
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
Compensation & 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).
Work Location & Policy
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.
Equal Opportunity
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.
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iCapital is an office-first culture, as such all employees are required to work in the office Monday-Thursday, with the flexibility to work remotely on Friday, depending on the department. Please review the job description before applying, to identify the specified location/s for the role. *
New York, NY
Princeton, NJ
Salt Lake City, UT
Stamford, CT
Do you currently require any type of visa sponsorship for employment? *
Will you in the future require any type of visa sponsorship for employment (i.e. student visa transfer to H1B, etc)? *
What is your preferred coding language? *
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.
As set forth in iCapital’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:
A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
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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
Compensation & 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).
Work Location & Policy
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.
Equal Opportunity
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.
Note
Create a Job Alert. Interested in building your career at iCapital? Get future opportunities sent straight to your email.
Apply for this job First Name *
Last Name *
Preferred First Name *
Email *
Phone *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Education
School Select...
LinkedIn Profile
Personal Website
Full Legal Name *
Are you legally eligible to work in the U.S.? *
What is your desired base salary? *
What is your desired total compensation? *
How did you hear about this job? *
If "Employee Referral" was selected for "How did you hear about this job?" please type the full name of the referring employee. If not, please type in "N/A". *
Are you subject to any form of Garden Leave or a Non-Compete? If yes please provide detail below. *
iCapital is an office-first culture, as such all employees are required to work in the office Monday-Thursday, with the flexibility to work remotely on Friday, depending on the department. Please review the job description before applying, to identify the specified location/s for the role. *
New York, NY
Princeton, NJ
Salt Lake City, UT
Stamford, CT
Do you currently require any type of visa sponsorship for employment? *
Will you in the future require any type of visa sponsorship for employment (i.e. student visa transfer to H1B, etc)? *
What is your preferred coding language? *
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.
As set forth in iCapital’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:
A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
Select...
Voluntary Self-Identification of Disability Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026
PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.
DISABILITY STATUS
Disability status information is requested on a voluntary basis to support equal employment opportunity efforts.
#J-18808-Ljbffr