Assistant Vice President AI Engineer

Join iCapital as an Assistant Vice President AI Engineer, where you will design, develop, and deliver production-grade AI systems that drive measurable business outcomes. You will own AI projects end-to-end, contribute to technical design and architectural decisions, and partner directly with cross-functional stakeholders. The ideal candidate has 5+ years of experience in developing and deploying production AI/ML systems, strong proficiency in Python, and a deep expertise in building production AI solutions.

• Concevoir, développer et livrer des systèmes d'IA de production qui génèrent des résultats commerciaux mesurables.
• Posséder des projets d'IA de bout en bout, de la définition du problème à la mise en œuvre, en passant par le déploiement et l'amélioration continue.
• Contribuer aux décisions de conception technique et architecturale de l'équipe, y compris la conception d'API, la décomposition du système et la stratégie d'évaluation.

• The ideal candidate is an experienced, hands-on 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
• Excellent written and verbal communication skills, with the ability to document technical solutions, partner effectively with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences
• 5+ 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
• Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring or supporting the growth of other engineers
• Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred
• 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 and tooling
• Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred
• 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 designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments
• Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software