AI Engineer - Vice President

iCapital, New York, New York +1

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 across the firm. 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.

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AI Engineer - Vice President

iCapital, New York, New York +1

Posted pay

$170K–$210K

a year

Compared with similar jobs

This base pay is below the median for director-level ML and AI engineering jobs in the US.

Median: $293K a year
Other jobs in the group: 55

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: New York, New York +1
Work type: Not given
Level: Director+, manager
Experience: 7+ years
Skills in the job text: Python
AWS
Posted: Sep 11, 2026
Last check: 8 h ago
Job type: ML / AI engineering

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iCapital

Open tech jobs: 49
With posted pay: 76%
Median posted base: $120K–$160K

About iCapital: funding, hiring and pay

iCapital

About iCapital: funding, hiring and pay

Company facts

Money raised: $820MSum of funding rounds on record
Newest round: RoundJul 10, 2025

Funding records can have errors and can be missing. The company page has the links.

Interview questions

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The role

What you need

7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a 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, with 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, with 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

AI Engineer - Vice President

The role

AI Engineer - Vice President

The role

What you will do

What you need

Pay and benefits

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Company facts

Interview questions

iCapital

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