Artificial Intelligence Forward Deployment Engineer - Associate

iCapital • New York, NY

2d • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• Familiar with agent communication protocols (i.e. MCP, A2A) is a plus

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.

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).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees