AI Deployment Lead for Finance (Hybrid NY)

OpenAI, Inc.; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Travel up to 50%

Job summary

OpenAI is seeking a Forward Deployed Engineer to lead end-to-end deployments of production-grade AI systems inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers across investment banking, trading, risk, compliance, underwriting, and research to translate complex workflows into auditable production systems.

You will measure success by production adoption, workflow efficiency, risk reduction, revenue impact, and

Qualifications

• 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership.
• Experience with financial workflows and regulated environments.
• Experience deploying systems powered by LLMs or generative models.
• Strong communication across engineering, product, risk, compliance, and executive stakeholders.

Responsibilities

• Design and ship production AI systems around models, owning integrations and data flows.
• Lead discovery and scoping from pre-sales through post-production with measurable outcomes.
• Define launch criteria for regulated financial environments with controls and audit artifacts.
• Build in sensitive data environments with access controls, data lineage, and explainability.
• Run evaluation loops measuring model quality against financial benchmarks (accuracy, latency).
• Own delivery state across multiple workstreams with trade-offs between scope, speed, and quality.
• Distill deployment learnings into hardened primitives and reference architectures.
• Surface field feedback to inform model behavior and platform gaps.

Skills

Software engineering

ML engineering

Deployment ownership

Python

JavaScript

Stakeholder communication

Regulated financial services knowledge

Job description

OpenAI is seeking a Forward Deployed Engineer to lead end-to-end deployments of production-grade AI systems inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers across investment banking, trading, risk, compliance, underwriting, and research to translate complex workflows into auditable production systems.

You will measure success by production adoption, workflow efficiency, risk reduction, revenue impact, and