4 hours ago
Base Salary
$170k - $210k/yr
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 from scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement.
- Drive API design, system decomposition, evaluation strategy, infrastructure patterns, and engineering standards for the AI/ML platform.
- Build evaluation frameworks with benchmark datasets, statistically sound metrics, versioning, and reproducible continuous improvement processes.
- Partner with Product, Operations, Legal, and Business stakeholders to identify opportunities, translate requirements, and communicate technical tradeoffs.
- Mentor engineers through code reviews, design reviews, pair problem-solving, and knowledge sharing.
- Improve team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.
Requirements
- At least 7 years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms.
- Strong proficiency in Python and software engineering practices including source control, CI/CD, testing, documentation, and scalable software development.
- Hands-on experience with LLM applications, AI agents, retrieval-augmented generation, conversational AI, document intelligence, agentic workflows, MCP, and A2A.
- Experience designing, deploying, and operating machine learning pipelines covering training, deployment, monitoring, evaluation, and continuous improvement.
- Strong knowledge of statistics, experimentation, data quality, AI evaluation, benchmarking, performance metrics, error analysis, and system optimization.
- Experience leading technical architecture decisions, code and design reviews, engineer mentoring, and engineering excellence initiatives.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Experience across LLM systems, document intelligence, and ML platforms or infrastructure.
- Financial services or FinTech experience in document-heavy, regulated, or compliance-sensitive environments is preferred.
- Open-source contributions, technical publications, conference presentations, patents, or other applied-AI thought leadership are preferred.
Benefits
- Base salary range of $170,000 to $210,000, plus equity for full-time employees and an annual performance bonus.
- Benefits include an employer-matched retirement plan, subsidized healthcare, fully employer-paid dental and vision coverage, telemedicine, virtual mental health counseling, parental leave, and unlimited PTO.
- The role is in-office Monday through Thursday with the option to work remotely on Friday.
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About iCapital
iCapital builds a technology platform that lets wealth managers and asset managers offer, transact, and service alternative investments and structured solutions for private clients. The company earns software, data, and administration fees across marketplace access, enterprise integrations, and fund servicing. Founded in 2013 and headquartered in New York, it reports $1.2 trillion of assets serviced globally and serves nearly 3,900 wealth management firms and 144,000 active financial professionals.