Principal AI Engineer - Agent Ops / SRE
Core
Senior individual contributor responsible for building, deploying, and maintaining large-scale, mission-critical AI systems and horizontal AI Agents, ensuring reliability, uptime, and throughput.
Role type
Principal AI Engineer (AgentOps/SRE)
Builds
Reusable AI solutions, horizontal AI Agents, Agent Starter Packs, and standardized deployment templates for AI workloads.
Domain
Insurance / Generative AI / MLOps / SRE
Deliverable
production ML models | infrastructure
Required skills
Python, Infrastructure as Code (Terraform), CI/CD and GitOps, Observability (SLO, latency, alerting), Incident response and RCA, Large-scale distributed systems design, AI observability tools (Dynatrace, Splunk, OpenTelemetry)
Preferred skills
Google Gemini Enterprise Agent platform, GKE/Docker, AWS, LLM orchestration frameworks (Langchain, LangGraph), Conversational UX/UI design, Vector embedding and semantic search, Generative AI Guardrails, NLP and Deep Learning
Technologies
Python, Terraform, Harness, GitOps, Dynatrace, Splunk, OpenTelemetry, GKE, Docker, AWS, Langchain, LangGraph, Google Agent Development Kit
Responsibilities
Serve as technical liaison between AI COE and Platform Engineering teams; Ensure AI systems meet performance, latency, and reliability requirements; Partner with AI engineers to design and maintain scalable, fault-tolerant AI systems; Design and implement CI/CD, GitOps, and IaC modules; Build standardized deployment templates, automation scripts, and operational runbooks; Manage production systems to meet enterprise SLOs; Manage incident response including triaging, escalation, and corrective actions.
Seniority
Principal, hands-on IC