AI Platform Engineering Lead

Motive Partners; New York (NY); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Annual Bonus

Equity

Job summary

Obin AI is seeking an AI Platform Engineering Lead in the NYC metro area to build a scalable, multi-tenant platform for regulated finance. You will own the paved road, tooling, and release machinery that enables engineers to ship compliant agent workflows rapidly.

You will lead a small, high-caliber team, set engineering standards, and shape the customer-facing developer experience with an SDK, API gateway, sandboxed evaluation, and trace-level debugging.

Responsibilities

• Own the paved road: scaffolding, tooling, isolation model, and release machinery for compliant agent workflows.
• Lead a small, high-caliber team and establish engineering standards.
• Develop a customer-facing developer experience with SDK/API gateway and sandboxed evaluation.
• Create a repeatable vendoring cycle with sanitized codebases for customer environments.
• Implement multi-tenant platform patterns with strong isolation across planes.

Job description

AI Platform Engineering Lead

NYC-Metro

Engineering/Product

Hybrid

Full-time

Build the AI workforce that finance can actually trust.

We are closing the gap between what AI promises and what regulated institutions can responsibly deploy. If you

Fall in love with hard problems - not easy answers - this is where your work matters.

The role

This is the founding platform engineering leadership role.

You will own the paved road: the scaffolding, tooling, isolation model, and release machinery that lets engineers ship compliant agent workflows in a day instead of weeks - and, before long, let a customer's own engineers do it without us in the room.

You will lead a small, high caliber and capable team.

A meaningful part of this job is establishing the engineering standards.

What you'll own

• The golden path. Scaffolding, templates, and defaults so a new solution stands up with backend, ingest, RBAC, and audit packaging already handled - and the engineers write only agent logic.
• The shared tool catalog. Today every agent intent re-authors its own tool definitions. Make tools first-class, versioned, referenced objects rather than copy-paste.
• Versioning and promotion lanes. Agents and playbooks move local to shared to production through auditable, gated CI/CD. No silent edits to anything shared.
• The compliance harness. Provable auditability and governance for every agent run: who changed what, which version executed, which sources grounded which claim.
• Testing infrastructure. A skill and tool testing suite, regression gates, and shadow A/B in production environments.
• Multi-tenancy done properly. Logical isolation across the control, data, execution, and playbook planes - strong enough that a customer's security review passes without us resorting to dedicated per-tenant infrastructure.
• The customer-facing developer experience. SDK, API gateway, sandboxed evaluation, trace-level debugging, and egress webhooks that a bank's own quant engineers can safely build against.
• A repeatable vendoring cycle. We ship sanitized codebases into customer environments today. Make that a supported, IP-defensible process.
• Engineering standards that stick. Written specs, clear approval rights, real separation of concerns, and a team that knows the difference between deliberate technical debt and accidental technical debt.

What we’re looking for

• You have built and operated a multi-tenant platform that external developers built on - SDK or API surface, tenant isolation, gated deploys, the whole path.
• You have shipped in a regulated environment and can hold your own on SOC 2, audit trails, access control, and model risk without treating them as someone else's problem.
• You have converted services delivery into product before. You know which bespoke work becomes a platform primitive and which is a one-off you should refuse to generalize.
• You have led engineers directly, including engineers earlier in their careers, and you set standards by writing things down rather than by being in every conversation.
• You are opinionated about developer experience and can defend those opinions with what happened last time.

Signals we weight heavily

• Internal developer platform, paved road, or platform-as-a-service ownership at a company that sold to enterprises.
• You have said no to a customer request in order to protect a platform abstraction - and can explain how you made that call.
• You have introduced written decision-making to a team that ran on hallway conversation, and it survived contact.
• Comfort with AI agent systems is welcome but not required.

Base compensation range:

$250,000 - $300,000

Plus Annual Bonus + Equity

Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows - continuous monitoring, scalable underwriting, and earlier risk detection - without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate - deploying AI workers directly within live workflows to expand decision capacity under institutional controls.

Obin AI is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.