AI Forward Deployed Engineer

Eze Castle Integration, Inc.; New York (NY); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Flex PTO

Health benefits

Life insurance

Pet insurance

401K

Job summary

ECI is seeking an AI Forward Deployed Engineer to work hands-on with investment firms, deploying production AI solutions and driving adoption at client sites in the New York area. This hybrid role blends client-facing engineering with hands-on development, including building AI agents, integrations, and data workflows.

You will collaborate with compliance and IT teams, validate outputs, and iterate on patterns that scale across multiple clients, with travel as needed.

Qualifications

• Two to five years of professional software engineering experience, including experience supporting production systems.
• Hands-on experience building and shipping LLM-powered features, agents, or AI-enabled workflows to production users.
• Strong programming skills in TypeScript or Python, including development of APIs, integrations, and data workflows.
• Experience with retrieval, evaluation, and guardrails for LLM applications, including work across more than one model provider.
• Experience integrating third-party systems and APIs and handling authentication, permissions, data access, and failure conditions.
• Experience using AI coding agents with the judgment to review, correct, test, and verify generated output.
• Ability to understand business processes quickly, communicate technical choices clearly to non-technical stakeholders, and work directly with clients with a high degree of autonomy.

Responsibilities

• Run defined workstreams within an AI client engagement, working directly with client business and technical teams while coordinating with the Senior FDE accountable for the engagement.
• Map client 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.
• Turn business needs into prioritized, buildable use cases with clear success measures based on value, data access, risk, and implementation effort.
• 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.
• Train users, measure adoption and results against agreed success measures, iterate based on feedback, and document operating procedures and runbooks for handover.
• Convert recurring client needs into reusable patterns, connectors, and agent skills, and share field insights with ECI product and engineering teams.

Skills

LLM features

TypeScript

Python

APIs

Data workflows

LLM retrieval

AI coding agents

Tools

Azure

Terraform

Microsoft 365

Entra ID

Microsoft Graph

Teams

SharePoint

Job description

AI Forward Deployed Engineer

Position Summary

ECI is seeking an 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.

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

• Run defined workstreams within an AI client engagement, working directly with client business and technical teams while coordinating with the Senior FDE accountable for the engagement.
• Map client 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.
• Turn business needs into prioritized, buildable use cases with clear success measures based on value, data access, risk, and implementation effort.
• 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.
• Train users, measure adoption and results against agreed success measures, iterate based on feedback, and document operating procedures and runbooks for handover.
• Convert recurring client needs into reusable patterns, connectors, and agent skills, and share field insights with ECI product and engineering teams.

Qualifications (Knowledge, Skills, Abilities)

• Two to five years of professional software engineering experience, including experience supporting production systems.
• Hands-on experience building and shipping LLM‑powered features, agents, or AI‑enabled workflows to production users.
• Strong programming skills in TypeScript or Python, including development of APIs, integrations, and data workflows.
• Experience with retrieval, evaluation, and guardrails for LLM applications, including work across more than one model provider.
• Experience integrating third‑party systems and APIs and handling authentication, permissions, data access, and failure conditions.
• Experience using AI coding agents with the judgment to review, correct, test, and verify generated output.
• Ability to understand business processes quickly, communicate technical choices clearly to non‑technical stakeholders, and work directly with clients with a high degree of autonomy.

Preferred Qualifications

• 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 environments.
• Experience with Azure, Azure AI Foundry, infrastructure as code such as Terraform, and Microsoft 365 technologies including Entra ID, Microsoft Graph, Teams, and SharePoint.
• Familiarity with investment‑industry systems, data, and workflows, including portfolio or order management, fund accounting, research management, market data, private-markets platforms, compliance archiving, reconciliation, or investor reporting.

Working Conditions

• Ability to work independently with moderate supervision while coordinating closely with a Senior FDE and distributed ECI teams.
• Ability to work regularly at client sites in the New York area and travel occasionally for business.
• Ability to manage multiple client priorities and respond flexibly to deadlines, production issues, and changing engagement needs.
• Ability to work beyond normal business hours when necessary to support client delivery, releases, or critical business cycles.
• Ability to operate a computer keyboard, mouse, and other standard office technology for extended periods.
• Client onboarding may require background checks, security attestations, personal-trading pre-clearance, holdings reporting, or other controls required by the client.

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 a competitive compensation package and the base salary range for this role is $140,000-$170,000, plus flexible PTO, health benefit eligibility the first of the month, life insurance, pet insurance, 401K and so much more! If you believe you’d be a great fit and are ready for your best job ever, we’d like to hear from you!!

Love Your Job, Share Your Technology Passion, Create Your Future Here!

ECI is an equal opportunity employer. All qualified applicants will receive consideration consistent with applicable law.