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.

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.