AIOps Leader
Core
Principal technical architect and lead builder for a centralized AI Product Support & Operations function, designing end-to-end automation strategies to transform operational chaos into scalable, self-healing infrastructure.
Role type
Senior IC AIOps Leader / Principal Technical Architect
Builds
Intelligent diagnostic pipelines, custom RAG-driven knowledge tools, self-healing systems, automated triage engines, and conversational AI agents.
Domain
AI/ML Operations, Cloud Infrastructure, Site Reliability Engineering (SRE)
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud infrastructure automation, AI/ML operational tooling, RAG systems engineering, LLM utilities, vector database management, Kubernetes orchestration, Infrastructure-as-Code (Terraform), Python/Go/Shell scripting, observability architecture, predictive anomaly detection
Preferred skills
Conversational AI agent development, ITIL certification, Agile Service Management, PMP, French language proficiency
Technologies
AWS (Bedrock, SageMaker, OpenSearch, Lambda), GCP (Vertex AI, Cloud Run, BigQuery), Kubernetes (EKS/GKE), Docker, ServiceNow, Datadog, Jira, Pinecone, Qdrant
Responsibilities
Architect and deploy auto-remediation routines and event-driven automation triggers; Design and maintain RAG knowledge tools and vector databases for incident context; Lead development of conversational AI agents and self-service bots; Build enterprise-grade telemetry ingestion and log enrichment pipelines; Configure real-time predictive alerting and AI-driven monitoring models; Standardize system log outputs and tagging taxonomy across AI products; Guide L1/L2 support engineers on automation best practices.
Seniority
Senior, hands-on IC with architectural leadership