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About the Role

iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes. This individual will own key workstreams, serve as a technical leader, drive system design, mentor engineers, partner with business stakeholders, and ensure AI capabilities are built to production-grade standards. The ideal candidate combines deep technical expertise with strong cross-functional partnership and architectural judgment.

Responsibilities

Lead the architecture and delivery of production AI systems, including document intelligence, intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications.
Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement.
Drive technical design and architectural decisions for the team, establishing standards that raise the quality bar across the AI/ML platform.
Architect and champion robust evaluation frameworks for AI systems, defining statistically sound metrics, curating benchmark datasets, and enforcing strict versioning.
Partner directly with cross-functional stakeholders to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations.
Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing.
Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure.

Requirements

7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms.
Proven track record of delivering complex applications from design through production.
Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software.
Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows.
Hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A.
Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments.
Strong foundation in statistics, experimentation, data quality, and AI system evaluation.
Experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency.
Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams.
Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences.
Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure.
Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred.
Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred.

Skills

Python
AI/ML
Cloud-native solutions (AWS)
Source control
CI/CD
Testing
Documentation
Scalable software development
Maintainable software development
LLM applications
AI agents
Retrieval-augmented generation (RAG)
Conversational AI
Document intelligence
Agentic workflows
MCP
A2A
Machine learning pipelines
Model training
Model deployment
Model monitoring
Model evaluation
Continuous improvement
Statistics
Experimentation
Data quality
AI system evaluation
Benchmarking
Performance metrics
Error analysis
System optimization
Technical design
Architectural decisions
Code reviews
Design reviews
Engineering excellence
Written communication
Verbal communication
Technical documentation
Cross-functional collaboration
Complex concept communication
LLM systems
ML platforms
ML infrastructure
Financial services
FinTech

Location

New York, NY

Work Type

Hybrid

Experience Level

Vice President
7+ years of experience

Salary/Compensations

$170,000 to $210,000

Benefits

Salary
Equity for all full-time employees
Annual performance bonus
Employer matched retirement plan
Generously subsidized healthcare
100% employer paid dental
100% employer paid vision
100% employer paid telemedicine
100% employer paid virtual mental health counseling
Parental leave
Unlimited paid time off (PTO)

About the Company

iCapital is a financial technology company.
Company website: 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/

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.