Artificial Intelligence Engineer, iCapital
Vice President
$170-200k
+ Equity for all full-time employees, and an annual performance bonus
More information about location
4-5 days a week in office
Fintech platform for alternative investments
Be an early applicant
Fintech platform for alternative investments
1001+ employees
Be an early applicant
$170-200k
+ Equity for all full-time employees, and an annual performance bonus
More information about location
4-5 days a week in office
1001+ employees
Company mission
To power the world’s alternative investment marketplace.
Role
Who you are
- 7+ years of experience developing production AI/ML systems, including hands-on experience with AWS or cloud-native development patterns for AI/ML workloads and a demonstrated track record of delivering complex systems from inception through production
- Strong proficiency in Python and demonstrated ability to build well-engineered, maintainable software, including adherence to software engineering best practices (i.e. source control, CI/CD, testing, and documentation)
- Deep expertise in at least one of the following: LLM-based systems (fine-tuning, inference optimization, prompt engineering, modern tooling AI tooling, such as transformers, vLLM, or agentic frameworks), document intelligence and IDP, or ML system design (training pipelines, model serving, evaluation infrastructure)
- Experience designing and operating end-to-end ML pipelines in production, including model training, deployment, monitoring, and iteration (MLOps)
- Solid fundamentals in statistics, experimentation, and data quality with the ability to reason rigorously about metrics, error patterns, and the limitations of AI systems
- Experience leading technical design, mentoring engineers, and driving architectural decisions within a team
- Strong written and verbal communication skills to represent the team in cross-functional settings, document technical designs, and communicate effectively with both technical and non-technical stakeholders
- Experience spanning more than one of LLM systems, document intelligence, and ML platform and infrastructure
- Familiar with agentic architectures and protocols (i.e. MCP andA2A) or designing multi-step, tool-using AI workflows
- Knowledge of cost and latency optimization for LLM inference at scale (i.e. quantization, batching strategies, and model routing)
- Prior experience in financial services or FinTech, particularly in document-heavy or compliance-sensitive domains
- Contributions to open-source projects or published technical writing demonstrating thought leadership in applied AI
What the job involves
- 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 across the firm
- This role is ideal for a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team
- This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability
- This role is expected to bring independent judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions
- Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, and agentic orchestration, to power internal and external workflow automation at scale
- Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery
- Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform
- Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement
- Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly
- Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group
- Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity
Our take
Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.
Since launching in 2013, iCapital has provided enterprises with an investing marketplace. Its focus has been on banking, wealth management, and asset management companies, and iCapital now serves clients such as JP Morgan, Evercore, and Rockefeller. As of February 2025, the company services nearly $500 billion in global client assets, clear evidence of industry confidence in the company.
iCapital's impact on the financial world is undeniable, forging strong and profitable partnerships with leading institutions like Morgan Stanley. With a proven track record, impressive funding and a rapidly growing platform, iCapital is poised for significant further expansion in the years to come.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jul 2025
$820m
SERIES E
Dec 2021
$50m
LATE VC
Total funding: $1.5bn
Company benefits
- Employer-matched retirement plan;
- Generously subsidised health care with 100% employer-paid dental, vision, telemedicine, and virtual mental health counselling
- Generous unlimited paid-time off (PTO) and parental leave (benefits vary by country and not all benefits are offered in every location)
Company HQ
Murray Hill, New York, NY
Leadership
Lawrence Calcano
(CEO & Chairman)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
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