2 hours ago
Base Salary
$185k - $300k/yr
Responsibilities
- Design and ship production AI systems around models, including integrations, data flows, reliability, observability, and on-call readiness.
- Lead discovery and scoping from pre-sales through post-production, translating business problems into requirements and delivery plans.
- Define launch criteria, controls, audit artifacts, evaluation benchmarks, and acceptance thresholds for regulated financial environments.
- Build systems with access controls, data lineage, explainability, and failure-mode considerations.
- Run evaluation loops measuring accuracy, latency, coverage, false positives, and other workflow-specific quality metrics.
- Own delivery across multiple workstreams and make scope, speed, and quality trade-offs.
- Create reusable primitives, reference architectures, playbooks, and tooling for deployment across financial institutions.
- Provide field feedback that informs model behavior, product capabilities, and platform gaps.
Requirements
- 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 in high-consequence environments.
- Experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes.
- Ability to write and review production-grade backend and frontend code using Python, JavaScript, or comparable technologies.
- Experience deploying systems powered by LLMs or generative models, including understanding of evaluation and guardrails.
- Ability to communicate technical trade-offs across engineering, product, risk, compliance, and executive stakeholders.
- Ability to turn incidents, escalations, and failures into improved operating standards and repeatable deployment patterns.
- Ability to operate decisively in urgent, ambiguous, and high-stakes delivery environments.
Benefits
- New York-based hybrid work model requiring 3 days in the office per week.
- Relocation assistance is offered.
- Travel of up to 50% may be required.
Tech Stack
Categories
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.