Lead Financial Services AI Deployments

Showcify; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Travel up to 50%

Job summary

OpenAI’s Forward Deployed Engineering team is hiring to lead end-to-end deployments of OpenAI models inside financial institutions in New York. The role emphasizes correctness, latency, explainability, and governance for enterprise use cases, with a hybrid work model and relocation support.

You will collaborate with product, risk, security, and legal teams to deliver auditable, resilient systems while shaping our financial services offering at scale.

Qualifications

• 5+ years of software engineering experience with customer-facing ownership in regulated industries.
• Experience deploying AI or data-driven systems in production.
• Strong written and verbal communication with stakeholders.
• Proficiency in Python or JavaScript for backend/frontend work.
• Ability to translate business problems into technical requirements.

Responsibilities

• Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows.
• Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes.
• Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.
• Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures.
• Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks and use results to drive iteration.
• Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes.
• Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions.
• Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases.

Skills

Software engineering

ML deployment

Customer-facing ownership

Python

JavaScript

Tools

LLM tooling

Job description

OpenAI’s Forward Deployed Engineering team is hiring to lead end-to-end deployments of OpenAI models inside financial institutions in New York. The role emphasizes correctness, latency, explainability, and governance for enterprise use cases, with a hybrid work model and relocation support.

You will collaborate with product, risk, security, and legal teams to deliver auditable, resilient systems while shaping our financial services offering at scale.