SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
OpenAI's Forward Deployed Engineering team is hiring a Senior Engineer to lead end-to-end deployments of production-grade AI systems within financial services organizations. You will work directly with banks, asset managers, insurers, and private capital firms to translate frontier model capabilities into reliable, auditable systems that create measurable business impact in high-stakes environments where correctness, latency, explainability, and control are critical.
In this role, you will design and ship production AI systems, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows. You will lead discovery and scoping from pre-sales through post-production, translating complex business problems into hypothesis-driven problem framing and delivery plans with measurable outcomes. You will define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.
You will build systems in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures. You will run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (accuracy, latency, coverage, false positives) and use results to drive iteration. You will own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes.
A key part of your impact will be distilling deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions. You will surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases. You will work closely with Product, Research, GTM, Security, Legal, and GRC teams to deliver systems that meet enterprise standards for governance, auditability, and operational resilience.
You will play a central role in shaping OpenAI's Financial Services offering—identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions.
The role is based in New York with a hybrid work model of 3 days in the office per week. Travel up to 50% may be required. OpenAI offers relocation assistance.
REQUIREMENTS:
- 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries
- Owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences
- Experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understanding of how incentives and controls shape adoption
- Production-grade code writing and review across backend and frontend systems using Python, JavaScript, or comparable stacks
- Deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes
- Clear communication across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture
- Systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns
- Ability to stay calm and decisive when delivery is urgent, ambiguous, and high-stakes
