Principal AgentOps Engineer

Job Title: Principal AgentOps Engineer

Location: Durham, NC (Onsite Preferred / Remote Option Available)

Duration: 12+ Months

Experience Required: 10+ Years

Job Summary:

We are seeking a highly experienced Principal AgentOps Engineer with deep expertise in Agentic Systems, AI Agents, and distributed platforms. This role will drive architecture, design, and development of next-generation AgentOps platforms, integrating graph-based knowledge systems and cloud-native infrastructure.

Key Responsibilities:

• Act as the technical owner and architect for AgentOps and platform components.
• Drive architecture decisions across scalability, performance, resilience, and security.
• Evaluate trade-offs and make high-impact design decisions independently.
• Align platform design with long-term enterprise AI/Agent strategy.

• Design and implement agent orchestration frameworks and workflows.
• Develop agent lifecycle management, including planning, execution, and coordination.
• Extend agent frameworks with capabilities such as memory, tool usage, and decision logic.
• Build guardrails for reliability, observability, and safe execution of AI agents.
• Optimize runtime performance and scalability of agent systems.

• Design and implement solutions using graph databases such as:
  • Neo4j
  • Amazon Neptune
  • TigerGraph
  • JanusGraph
• Perform graph data modeling and query optimization.
• Integrate graph-based knowledge systems with agentic platforms and services.

• Develop production-grade backend systems using Python.
• Design and implement APIs and platform services.
• Build internal tools and enhance platform capabilities.
• Troubleshoot and resolve complex production issues.

• Architect and implement cloud-native solutions on AWS, including:
  • EKS, ECS, Lambda, EC2
  • S3, DynamoDB, RDS, OpenSearch, IAM
• Ensure high availability, fault tolerance, and cost optimization.
• Build and enhance CI/CD pipelines, automation, and developer tooling.
• Implement observability solutions including logging, metrics, and tracing.

• Design and optimize large-scale distributed systems.
• Improve scalability, performance tuning, and system resilience.
• Ensure operational stability at scale.

• Partner with Engineering, Product, and Platform teams.
• Mentor senior engineers and provide technical guidance.
• Produce architecture documents, runbooks, and design artifacts.
• Ensure effective knowledge transfer and documentation.

Required Skills & Qualifications:

• 10+ years of experience in backend engineering and distributed systems
• Strong expertise in AgentOps / Agentic Systems / AI Agents (mandatory)
• Deep knowledge of agent orchestration, planning, and execution frameworks
• Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph, or JanusGraph)
• Expert-level Python development
• Strong experience with AWS cloud architecture and services
• Experience with CI/CD, DevOps practices, and observability tools
• Proven ability to design scalable, resilient, and high-performance systems