Forward Deployed Engineer - Financial Services

OpenAI • New York, NY

1d • Hybrid

About The Position

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM). About the role Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will lead the 0→1 development of OpenAI’s industry offering in this space - identifying high-value use cases, shaping solution patterns, and building the first repeatable deployments that inform our broader product and GTM strategy. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

Requirements

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
• Have experience with the financial services industry and/or investment lifecycle
• Have scoped and delivered complex systems in fast-moving or ambiguous environments
• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
• Simplify complexity and make fast, sound decisions under pressure
• Communicate clearly with engineers, product teams, and customer stakeholders
• Spot risks early and adjust without slowing down
• Model calm and judgment when the stakes are high

Responsibilities

• Own technical delivery across multiple deployments from first prototype to stable production
• Build full-stack systems that deliver customer value and sharpen how we learn
• Embed closely with customer teams, understand their needs, and guide adoption of what you build
• Scope work, sequence delivery, and remove blockers early
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
• Contribute directly in the code when progress or clarity depends on it
• Codify working patterns into tools, playbooks, or building blocks that others can use
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve
• Keep teams moving through clarity and follow-through

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees