Finance AI Deployment Engineer (Client-Facing)

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

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.