AI Quality Engineer
Apex Systems
AI Quality Engineer
Location: Merrifield, Virginia (Hybrid) preferred. Open to Remote U.S.Role Overview An experienced AI Quality Engineer is sought to establish and execute the quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions. This is a specialized engineering position focused on validating AI systems, Retrieval-Augmented Generation (RAG) architectures, agent workflows, and orchestration frameworks. The successful candidate will serve as an independent reviewer and certification authority responsible for evaluating the quality and effectiveness of AI-generated outputs and agent behavior. Key Responsibilities
- Define and implement AI certification, validation, and production readiness standards for enterprise AI agents and intelligent automation solutions.
- Develop and execute evaluation frameworks that measure accuracy, relevance, groundedness, completeness, hallucination rates, and user satisfaction.
- Design and maintain AI validation datasets, benchmark scenarios, and regression test suites using platforms such as LangSmith and Azure AI Foundry.
- Validate Retrieval-Augmented Generation (RAG) solutions built using Azure AI Search, Azure AI Foundry, LangChain, and LangGraph.
- Perform architecture reviews and quality assessments for AI solutions deployed on Azure Container Apps, Azure Functions, Azure Databricks, and related cloud-native services.
- Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, and retrieval pipelines.
- Validate security, governance, auditability, and compliance controls.
- Create production readiness and certification checklists covering observability, monitoring, logging, and operational readiness.
- Analyze LangSmith traces, agent execution logs, and AI evaluation metrics to identify quality concerns.
- Partner with development teams to remediate quality, accuracy, security, and performance issues prior to production deployment.
- Lead certification and production readiness reviews for Internal Developer Portal (IDP) capabilities and developer experience improvements.
- Experience building or validating enterprise AI agents and multi-agent systems.
- Experience within Platform Engineering, Developer Experience (DevEx), or Site Reliability Engineering (SRE) organizations.
- Experience with AI observability platforms such as LangSmith.
- Experience validating Azure AI Search implementations and vector databases.
- Experience implementing AI governance or Responsible AI frameworks.
- Experience in financial services, banking, or other regulated industries.
- Familiarity with Azure DevOps, GitHub, and enterprise developer platforms.
- Knowledge of identity and access management concepts including Entra ID and managed identities.
Vacancy posted 2 days ago
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