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- 100 000 $ – 135 000 $
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Artificial Intelligence Forward Deployment Engineer - Associate
Престижная компания с отличными бонусами (equity, безлимитный PTO) и работой над передовыми технологиями. Четко определенный стек и гибридный график делают позицию очень привлекательной.
Сложность вакансии
Роль требует сочетания глубоких технических навыков (Python, AWS, AI-агенты) и умения работать с бизнес-заказчиками. Высокая планка ответственности за внедрение решений в регулируемой финансовой среде повышает сложность.
Анализ зарплаты
Предложенная зарплата ($100k-$135k) находится в пределах рыночной нормы для уровня Associate в Нью-Йорке, хотя для опытных инженеров (6+ лет) верхняя граница может казаться консервативной. Дополнительные бонусы в виде акций и премий значительно повышают общую ценность предложения.
Сопроводительное письмо
I am writing to express my interest in the Forward Deployment AI Engineer position at iCapital. With a strong background in delivering production-grade software and a passion for the intersection of engineering and business strategy, I am excited by the opportunity to accelerate the delivery of AI capabilities within your alternative investment marketplace. My experience in Python and cloud-native development, combined with a hands-on approach to building agentic workflows, aligns perfectly with iCapital's mission to transform wealth management through technology.
In my previous roles, I have successfully translated ambiguous business requirements into scalable technical solutions, focusing on measurable impact and operational excellence. I am particularly impressed by iCapital's consistent recognition in the Forbes Fintech 50 and its commitment to innovation. I am eager to bring my expertise in Power Automate, Copilot Studio, and enterprise integration patterns to your AI/ML team to drive continuous improvement and deliver high-quality AI-driven processes.
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Присоединяйтесь к лидеру финтех-индустрии и внедряйте передовые ИИ-решения в реальные бизнес-процессы iCapital!
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 seeking a Forward Deployment AI Engineer (FDE) to accelerate the delivery of production-grade AI capabilities into real business workflows. This role is ideal for an engineer who thrives at the intersection of engineering, solution design, and stakeholder partnership. The ideal candidate can take ambiguous requirements, rapidly build working solutions, deploy them safely into production environments, and iterate based on real-world usage.
On the AI/ML team, this individual will work closely with AI/ML engineers, Product and Business Partners, and downstream Technology teams to embed AI systems directly into day-to-day operations using platforms such as Copilot Studio, Power Automate, and other agentic solutions. This role is expected to combine strong technical execution with crisp communication, operational discipline, and a bias toward measurable business impact.
Responsibilities
- Own forward deployment end-to-end for AI-powered solutions (i.e. discovery, scoping, prototyping, integration, production rollout, monitoring, and iteration) based on outcomes.
- Partner with stakeholders to translate business problems into deployable solutions such as running working sessions, clarifying requirements, defining success metrics, and managing tradeoffs to drive adoption.
- Integrate agentic workflows and capabilities into business systems, orchestrating tools, automations, and decision flows to support end to end AI driven processes.
- Drive project execution for AI deployments, including workplan definition, milestone tracking, dependency and risk management, stakeholder communication, and launch coordination across engineering, product, and business teams.
- Establish measurement and feedback loops, instrumenting workflows to track quality, throughput, and business KPIs, and using those signals to drive continuous improvement post-launch.
- Debug and resolve production issues spanning model behavior, data quality, automation logic, and system integrations and coordinate across teams to root-cause and remediate issues quickly.
- Document and enable through clear handoffs, reference architectures, and internal documentation for both technical and non-technical audiences.
Qualifications
- 3-6+ years of experience delivering production software or applied AI systems into real operational environments
- Proven experience leveraging AI to automate, orchestrate, and scale operational processes
- Strong proficiency in Python, with the ability to integrate custom services into broader enterprise workflows
- Experience with cloud-native development patterns (i.e. AWS), including deployment, monitoring and observability, and best operational practices
- Demonstrated ability to work through ambiguous problem statements, structure discovery, and deliver solutions with measurable business impact
- Strong written and verbal communication skills and comfort working directly with business stakeholders
- Hands-on experience building solutions with Copilot Studio, Power Automate, or other agentic solutions, especially for AI-driven workflow automation and agent-based interactions
- Familiar with enterprise integration patterns (i.e. service-to-service auth, eventing, APIs, data contracts) and operating AI systems in regulated environments
- Strong operational mindset such as logging, monitoring, dashboards, incident response, and postmortems
- Familiar with agent communication protocols (i.e. MCP, A2A) is a plus
Benefits
The base salary range for this role is $100,000 to $135,000. 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
- Python
- AWS
- Copilot Studio
- Power Automate
- APIs
- Monitoring
- Observability
- Enterprise Integration Patterns
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- Страна
- США
- Зарплата
- 100 000 $ – 135 000 $