Forward Deployed Engineer, Financial Services

OpenAI

. Design and ship production AI systems around models .

Posted 9/18/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $185,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI systems within regulated financial environments, ensuring compliance and quality through robust evaluation and integration processes. Proficient in translating complex business challenges into actionable technical solutions while collaborating effectively across diverse teams.

Highest-signal resume keywords

AI System DesignFinancial Workflow IntegrationProduction-Grade Code DevelopmentModel Evaluation and GuardrailsStakeholder Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonJavaScriptMachine Learning EngineeringData-Driven SystemsProduction DeploymentModel Behavior UnderstandingEvaluation BenchmarksIntegration ManagementData Flow ReliabilitySystems Thinking

Soft Skills

Decisiveness in Urgent SituationsCollaboration Across TeamsProblem FramingHigh Execution StandardsAdaptability in Ambiguity

Industry Keywords

Financial ServicesRegulated IndustriesRisk ManagementComplianceTradingUnderwritingInvestment ProcessesAudit ArtifactsAccess ControlsData Lineage

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Design and ship production AI systems around models
Own integrations, data flows, reliability, observability, and on-call readiness across financial workflows
Lead discovery and scoping from pre-sales through post-production
Translate 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
Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures
Run evaluation loops measuring model and system quality against workflow-specific financial benchmarks
Use evaluation results to drive iteration
Own delivery state across multiple workstreams and balance scope, speed, and quality
Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling
Surface field feedback informing model behavior, product capabilities, and platform gaps
Collaborate with Product, Research, GTM, Security, Legal, and GRC

Requirements

What you’ll need

5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries
Experience owning complex AI or data-driven systems end-to-end, from scoping through production adoption
Experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes
Understanding of how incentives and controls shape adoption
Ability to write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks
Experience deploying systems powered by LLMs or generative models
Understanding of model behavior, evaluation, and guardrails
Ability to communicate across engineering, product, risk, compliance, and executive stakeholders
Systems thinking and high execution standards
Ability to remain calm and decisive in urgent, ambiguous, and high-stakes situations
Ability to work from the US office three days per week
Ability to work in the country where the job is located

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year for focus and recharge
Paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided