About the Role :

We are hiring an AI & ML Lead to own the design, quality, and evolution of Neo's AI-native decision systems across wealth and broking platforms.

This role sits at the intersection of AI engineering, ML systems, and business-critical decisioning.

You will set the technical bar, guide architecture choices, and ensure AI systems are reliable, explainable, and regulator-ready.

This is not a research role and not a reporting role.

You are accountable for how AI behaves in production.

Key Responsibilities :

- Own the end-to-end architecture of AI & ML systems across Neo

- Define agentic, decision-driven AI patterns (rules + ML + LLMs)

- Review and approve models before they enter production

- Set standards for evaluation, monitoring, and failure handling

- Guide AI Engineers and ML Engineers on system design and trade-offs

- Partner closely with Product, Risk, Compliance, and Engineering leaders

- Ensure AI systems meet latency, trust, and auditability requirements

- Take final ownership during incidents involving AI/ML behavior

Required Skills & Experience :

- 6+ years building production-grade AI / ML systems

- Strong system design and architectural thinking

- Experience with real-time decision or scoring systems

- Proven ability to debug and stabilize AI systems in production

- Experience leading technical teams or acting as a tech bar-raiser

Good to Have :

- Experience in fintech, trading, or regulated domains

- Background in risk, fraud, or decision engines

- Exposure to agentic AI or complex workflow systems

- Experience working with compliance, audit, or governance teams

What We Value :

- Engineers who think in systems, not models

- Strong judgement under ambiguity

- Bias toward reliability and trust over novelty

- Ability to raise the bar without slowing teams down

- Ownership mindset - AI outcomes are your outcomes

Role Expectations (Important)

This role is expected to :

- Review designs, not just code

- Say "no" to unsafe or premature AI usage

- Balance speed with correctness

- Build an AI-native culture across teams