Senior AI Forward Deployed Engineer
- Compensation
- Not disclosed
- Location
- New York, NY, US
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Nice to have
- Experience in a client-facing engineering role and exposure to hedge funds, private equity, investment banking, asset management, fund administration, or other regulated financial-services environment
- Working Conditions
- Ability to lead client engagements independently while coordinating effectively with distributed ECI product, engineering, industry, security, and account teams. Ability to work regularly at client si
- ECI’s culture is all about connection - connection with our clients, our technology and most importantly with each other. In addition to working with an amazing team around the world, ECI also offers
Full description
Senior AI Forward Deployed Engineer
Position Summary
ECI is seeking a Senior AI Forward Deployed Engineer to help investment firms, including hedge funds, private equity firms, investment banks, and family offices, put AI to work in their businesses. This hands-on, client-facing engineering role identifies high-value opportunities across deal flow, research, trading, portfolio management, risk, valuations, and middle- and back-office operations, then builds, deploys, and drives adoption of production solutions.
The Senior AI Forward Deployed Engineer operates at the Senior FDE level, requiring 5 or more years of professional software engineering experience. The role independently leads client engagements from discovery and scoping through production deployment, adoption, documentation, and handover, and mentors Associate FDEs and FDEs.
This role will be hybrid in New York, with regular work at client sites in the New York area and occasional travel.
ECI Description
ECI is a Modern Intelligent Service Provider serving alternative investment and banking firms across the United States, United Kingdom, APAC, and India. ECI provides infrastructure, security, operations, and AI solutions within client environments. Through the ELLA platform and technology partnerships, ECI builds and operates practical AI solutions designed for measurable outcomes, secure data handling, and continuous improvement.
Responsibilities
Independently lead AI client engagements from discovery and scoping through production deployment, adoption, documentation, and handover, serving as the accountable engineering lead for the client.
Lead discovery with client leaders, operators, and technical teams to map workflows and identify where AI can save time, reduce risk, or improve quality across investment research, deal flow, trading, portfolio management, risk, valuations, fund operations, investor relations, and compliance.
Own engagement scope and turn business needs into prioritized, buildable use cases with clear success measures based on value, data access, risk, and implementation effort.
Architect, build, and deploy AI agents, integrations, and workflows using TypeScript or Python, ECI platforms, AI coding tools, Azure AI Foundry, Microsoft 365, and appropriate specialist products.
Integrate solutions with client systems, APIs, documents, and data while addressing authentication, permissions, data isolation, audit trails, records retention, retries, and partial failures.
Design evaluations using client examples, verify AI-assisted code and outputs, and apply automated checks and human review before solutions reach production.
Partner with client compliance, security, and IT teams to establish data-handling requirements, approvals, information barriers, and production controls.