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AgentCore - Evaluation & Observability / AgentOps Architect

VDart Inc

Job role : AgentCore - Evaluation & Observability / AgentOps Architect Duration : 3 months contract Location : Remote AWS Certification - Mandatory Active AWS certification is required. Core Skills : AWS AgentCore, AgentOps, AI/ML, Evaluation, Observability, Generative AI We are seeking a senior AgentCore / AgentOps Architect to design and establish enterprise-grade evaluation, observability, and operational standards for AI agents. The ideal candidate will have strong hands-on experience with AWS AgentCore, Amazon Bedrock, AI/ML, LLM evaluation, agent tracing, observability, and production AI systems. Key Responsibilities: Architect and establish AgentOps, Evaluation, and Observability frameworks for AI agents. Define standards for monitoring: Agent execution paths Model and tool calls Token usage Latency Failures and errors Infrastructure and model costs Establish evaluation frameworks for: Task completion Correctness Faithfulness Safety Tool-selection accuracy Agent performance and reliability Design automated evaluation and regression-testing frameworks for AI agents and LLM applications. Build a continuous Observe → Evaluate → Improve → Validate → Deploy lifecycle. Establish production monitoring, tracing, alerting, and performance dashboards. Integrate AgentOps and evaluation capabilities into CI/CD and MLOps pipelines. Define quality gates and validation standards before AI agents are promoted to production. Partner with AI/ML, cloud, and engineering teams to operationalize agentic AI solutions. Drive best practices for AI reliability, safety, governance, and responsible AI. Required Skills: Strong hands-on experience with AWS AgentCore. Strong AI/ML and Generative AI background. Experience with Amazon Bedrock and LLM-based applications. Strong experience in AgentOps / AI Agent Observability. Experience designing LLM/AI evaluation frameworks. Experience with agent tracing, telemetry, monitoring, and performance analysis. Strong understanding of LLM/agent metrics including correctness, faithfulness, safety, latency, cost, and tool-selection accuracy. Experience with automated regression testing for AI/LLM applications. Strong Python and API development experience. Experience with cloud architecture, CI/CD, and MLOps. VDart

Vacancy posted 5 days ago
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