Principal AgentOps Engineer

Must Have Skills: AI Agents Experience Required: 10 & Above Role Descriptions: Key Responsibilities- Principal-Level Technical Ownership Act as technical owner and architect for AgentOps and AXIS platform components. Drive system design decisions across scalability| resilience| performance| and security. Evaluate tradeoffs and make high-impact architectural calls independently. Ensure platform designs align with long-term enterprise and AIAgent strategy. AgentOps Agentic Systems Engineering Design and implement agentic workflows| orchestration| and lifecycle management. Extend and optimize Agentic frameworks (planning| memory| tool usage| coordination).Build guardrails for reliability| observability| and safe execution of autonomous agents. Improve agent runtime performance and operational stability at scale. Design and implement solutions using Graph Databases (e.g.| Neo4j| Neptune| TigerGraph| JanusGraph| etc.).Integrate graph-based knowledge with agentic systems and platform services. Hands-on Engineering Platform Enablement Write and review production-grade code across critical services. Build and enhance platform capabilities| APIs| and internal tooling. Improve CICD pipelines| automation| and developer productivity tooling. Lead debugging and resolution of complex production issues. Cloud Operational Excellence (AWS) Architect and implement cloud-native solutions on AWS. Deep hands-on experience with AWS services (e.g.| EKS| ECS| Lambda| EC2| S3| DynamoDB| RDS| OpenSearch| IAM). Ensure high availability| fault tolerance| and cost-efficient designs. Embed observability (logging| metrics| tracing) and operational best practices. Partner closely with Engineering Managers| Product| and Platform stakeholders. Mentor senior engineers and unblock teams as needed. Produce clear architecture docs| runbooks| and design artifacts. Ensure strong knowledge transfer before contract completion.