Lead AI Ops Engineer - Application
Core
Lead the technical design, architecture, and operationalization of high-consequence AIOps pipelines for payment-critical services, setting standards for anomaly detection and autonomous remediation.
Role type
Senior IC Lead AI Ops Engineer (Application)
Builds
Data-to-automation pipelines for individual use cases, including guard-railed and self-healing remediation capabilities.
Domain
Financial services / Operational AI / AIOps
Deliverable
production ML models
Required skills
Productionizing ML models (TensorFlow, PyTorch, scikit-learn), LLM-based techniques and failure modes, production automation design, incident management, technical architecture, mentorship
Preferred skills
Establishing technical standards for AIOps, serving as senior technical escalation point, designing safety/control frameworks, operating highly autonomous systems, engaging with Model Risk Management
Technologies
TensorFlow, PyTorch, scikit-learn
Responsibilities
Own technical design and architecture for highest-ambiguity AIOps builds, set reusable patterns for feature engineering and model evaluation, lead progression up the autonomy ladder, serve as primary escalation point during major incidents, mentor Senior engineers
Seniority
Senior, hands-on IC with leadership responsibilities
