Artificial Intelligence Forward Deployment Engineer - Associate

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

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

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.

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.