- Страна
- США
- Зарплата
- 180 000 $ – 250 000 $
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AI Operations Lead - Vice President / Senior Vice President
Отличная позиция уровня VP/SVP в престижной финтех-компании с прозрачной вилкой зарплаты, бонусами и акциями. Роль находится на острие технологий (Agentic AI) и предлагает сильный социальный пакет.
Сложность вакансии
Высокая сложность обусловлена требованием более 10 лет опыта, необходимостью глубоких знаний в области LLM и Agentic workflows, а также опытом работы в строго регулируемой финансовой среде.
Анализ зарплаты
Предложенная зарплата ($180k - $250k) полностью соответствует рыночным стандартам для позиций уровня Vice President в сфере AI/FinTech в Нью-Йорке и Коннектикуте. С учетом бонусов и опционов совокупный доход может значительно превышать медиану.
Сопроводительное письмо
I am writing to express my strong interest in the AI Operations Lead position at iCapital. With over a decade of experience in operationalizing complex technology systems and a deep background in machine learning within the financial services sector, I am confident in my ability to establish the robust governance and scalable AI frameworks your organization requires. My expertise in deploying LLM-based agentic workflows and managing multi-stakeholder initiatives aligns perfectly with iCapital's mission to power the world’s alternative investment marketplace.
Throughout my career, I have successfully bridged the gap between technical engineering teams and business stakeholders to deliver measurable ROI. I have extensive experience navigating the regulatory complexities of fintech, ensuring that AI deployments are not only innovative but also compliant and secure. I am particularly impressed by iCapital's consistent recognition in the Forbes Fintech 50 and would welcome the opportunity to contribute to your continued success by driving enterprise-wide AI adoption and operational excellence.
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Описание вакансии
iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025.
iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below).
About the Role
iCapital is looking to hire an Artificial Intelligence Operations Lead at iCapital. This individual will be responsible for establishing governance and scaling AI capabilities across the organization. Reporting to the Head of AI, this role ensures AI systems are deployed responsibly, monitored effectively, and deliver measurable business value.
The role focuses on operationalizing and integrating AI solutions into business workflows, partnering with engineering, product, compliance, and finance to identify use cases, deploy solutions, manage AI vendors, and track performance, costs, and ROI. The ideal candidate will help implement responsible AI practices, operational controls, and monitoring frameworks, ensuring AI systems remain compliant, reliable, and aligned with business objectives while driving enterprise adoption of AI tools and automation.
Responsibilities
- Oversee the deployment, monitoring, and lifecycle management of AI/ML systems in production, ensuring reliability, security, and scalability across sales, internal and external workflow, and operational platforms.
- Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, model approval framework and ensuring operational readiness for production deployment
- Design and optimize AI-powered workflows across the firm, enabling Agentic in areas such as fund onboarding, document processing, diligence workflows, client servicing, and internal knowledge management.
- Partner with the Sales, Distribution, Product, and Operations teams to identify high-value AI use cases across the private markets’ lifecycle.
- Define and operationalize governance frameworks for responsible AI use, ensuring alignment with business priority, regulatory expectations, model risk management, data privacy, monitoring and compliance requirements relevant to financial services.
- Establish monitoring and analytics for AI systems, tracking performance, usage, costs, and measurable business impact (i.e. efficiency gains, risk reduction, and revenue enablement).
- Act as the operational bridge between AI Engineering teams and business stakeholders, translating technical capabilities into scalable solutions that support investment professionals, advisors, and platform operations.
- Manage relationships with AI technology vendors and model providers (i.e. OpenAI, Anthropic, and Google), including evaluation, integration, roadmap alignment, field invention.
- Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, and ensuring operational readiness for production deployment.
Qualifications
- 10+ years AI Operational experience
- 7+ years of experience in data science, machine learning or AI-related roles, with 4+ years leading cross-functional initiatives at scale
- Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms
- Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation
- Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs
- Demonstrated ability to build and scale operational frameworks, including monitoring, vendor management, cost governance, and ROI measurement for AI initiatives
- Experience working with regulated environments, with knowledge in model governance, data privacy, and compliance considerations relevant to financial services
- Proven ability to partner across Engineering, Product, Legal and Compliance, and Business teams to drive adoption of new technologies
- Strong program management and execution skills, with experience leading complex, multi-stakeholder initiatives
- Vendor and ecosystem management experience, including evaluating and managing AI technology providers
- Excellent communication and stakeholder management skills, with the ability to translate complex AI capabilities into clear business value for senior leadership
- Proven track record of deploying clients or advisor-facing AI solutions, such as AI bots, recommendation engines, or digital assistants for financial advisors and wealth platforms
- Familiar with private markets data ecosystems, including structured and unstructured data from fund documents, subscription materials, and performance reporting
- Knowledge of private markets or alternatives investment workflows (i.e. fund onboarding, diligence, reporting, document-heavy processes) is strongly preferred
- Experience driving AI adoption in large organizations, including training, change management, KPI tracking and operating model design
- Experience leading AI innovation teams or functions, driving experimentation and rapid prototyping from concept to enterprise-wide adoption
Benefits
The base salary range for this role is $180,000 to $250,000 depending on experience and level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit 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/
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.
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Навыки
- Machine Learning
- Data Science
- LLM
- AI Governance
- Project Management
- Vendor Management
- Fintech
- Agentic Workflows
- Python
- Model Risk Management
Возможные вопросы на собеседовании
Проверка опыта внедрения ИИ в реальные бизнес-процессы с учетом рисков.
Опишите ваш опыт развертывания LLM-решений в продакшн: с какими основными регуляторными и операционными барьерами вы столкнулись в финансовом секторе?
Оценка понимания современных архитектур ИИ-агентов.
Как вы подходите к проектированию и мониторингу 'Agentic workflows' для автоматизации сложных многоэтапных процессов, таких как онбординг фондов?
Проверка навыков управления затратами и оценки эффективности.
Какую методологию вы используете для отслеживания ROI и управления стоимостью (cost governance) при использовании платных API (OpenAI, Anthropic)?
Оценка лидерских качеств и управления изменениями.
Как вы выстраиваете взаимодействие между техническими командами ИИ и бизнес-стейкхолдерами для обеспечения принятия новых инструментов сотрудниками?
Проверка опыта работы с вендорами.
Расскажите о вашем подходе к оценке и выбору поставщиков ИИ-моделей. Как вы обеспечиваете соответствие их дорожных карт целям вашей компании?
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- Страна
- США
- Зарплата
- 180 000 $ – 250 000 $