We are seeking an AI Quality Engineering Lead with 8+ years of experience in Quality Engineering, Test Automation, Software Engineering, and AI/ML. The role will lead the design and adoption of AI-powered Quality Engineering solutions, automation frameworks, and Agentic AI capabilities across the SDLC.
Roles and Responsibilities
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Lead AI-powered Quality Engineering and Test Automation initiatives.
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Design and implement Agentic AI, LLM, RAG, and Multi-Agent solutions.
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Build reusable AI frameworks, accelerators, agents, libraries, and reference architectures.
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Develop AI solutions for test generation, automation, defect analysis, traceability, test data, documentation, and quality analytics.
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Establish AI governance, Responsible AI, security, observability, model evaluation, and Human-in-the-Loop practices.
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Integrate AI solutions with DevOps, CI/CD, and cloud-native platforms .
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Provide technical leadership, mentoring, architecture guidance, and stakeholder management.
Required Skills
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8+ years in Quality Engineering, Software Engineering, Test Automation, AI/ML, or technology delivery.
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3+ years designing and implementing AI/ML, GenAI, or Agentic AI solutions.
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Strong Python, FastAPI, LangChain, LangGraph, LLMs, RAG, and Prompt Engineering experience.
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Experience with Multi-Agent Systems, Microservices, API-first/Event-Driven Architecture .
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Hands-on experience with Docker, Kubernetes, DevOps, and CI/CD .
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Experience in AI/ML solution architecture, enterprise frameworks, and engineering transformation.
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Knowledge of AI governance, Responsible AI, security, observability, and model evaluation.
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Strong technical leadership and communication skills.
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Experience with Azure AI, OpenAI, and Azure AI Search is preferred.
Education
- Bachelor’s degree or higher in Computer Science, Engineering, AI/ML, Data Science, or a related field.
AI Quality Engineering Lead in Hackensack at Unknown Company
This position is listed as full time and onsite.