Principal ML Systems Architect

Role Summary:

Lead and deliver high-impact initiatives aligned to the AI & Data hiring plan. Own execution excellence with measurable business value, technical depth, and governance.

Key Outcomes (12–18 months)

- Ship production-grade solutions with clear ROI, reliability (SLOs), and security.

- Establish engineering standards, pipelines, and observability for repeatable delivery.

- Mentor talent;
uplift team capability through reviews, playbooks, and hands-on guidance.

Responsibilities

- Translate business problems into well-posed technical specifications and architectures.

- Lead design reviews, prototype quickly, and harden solutions for scale (1M+ users / high QPS).

- Build automated pipelines (CI/CD) and model/data governance across environments.

- Define & track KPIs: accuracy/latency/cost, adoption, and compliance readiness.

- Partner wit...