Forward Deployed Engineer (FDE), Financial Services- NYC

OpenAI
New York
Workplace: HybridFull timeUSD 185,000 - 300,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Systems thinking","High execution standards"]

Lead end-to-end deployments of OpenAI models within financial services customers, turning ambiguous business needs into production-grade AI systems. You’ll design and ship integrations, data flows, reliability/observability, and on-call readiness, define launch criteria for regulated environments, and run evaluation loops against financial workflow benchmarks. Partner across Product, Research, GTM, Security, and Legal to scale repeatable solution patterns and improve adoption, risk posture, and operational resilience.

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FursaFursa
OpenAI
OpenAI
1 day ago

Forward Deployed Engineer (FDE), Financial Services- NYC

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Lead end-to-end deployments of OpenAI models within financial services customers, turning ambiguous business needs into production-grade AI systems. You’ll design and ship integrations, data flows, reliability/observability, and on-call readiness, define launch criteria for regulated environments, and run evaluation loops against financial workflow benchmarks. Partner across Product, Research, GTM, Security, and Legal to scale repeatable solution patterns and improve adoption, risk posture, and operational resilience.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and ship production AI systems, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows.
  • •Lead discovery and scoping from pre-sales through post-production, translating business problems into hypothesis-driven problem framing, requirements, and measurable delivery plans.
  • •Define and enforce launch criteria for regulated environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.
  • •Build in sensitive data environments, shaping architecture and operating procedures through access controls, data lineage, explainability, and failure mode handling.
  • •Run evaluation loops against workflow-specific financial benchmarks and turn deployment learnings into hardened primitives, reference architectures, and playbooks that scale.
Travel: High travel

Pay and Benefits

Salary: USD 185,000 - 300,000 annually
Perks:Relocation

Key Requirements

  • •Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries.
  • •Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, where errors have financial or regulatory consequences.
  • •Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks.
  • •Have deployed LLM or generative-model-powered systems and understand how evaluation, guardrails, and model behavior affect trust and outcomes.
  • •Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture.
Experience:5+ yearsFinancial services
Skills:CommunicationSystems thinkingHigh execution standards
Tech Stack:PythonJavaScript

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor