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AI QE Architect

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Hybrid

AI QE Architect

Zensar

AI QE Architect

Skills

Testing & QAMachine LearningAIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

24 August 2026

What they need


AI QE Architect / AI Assurance Architect

Experience: 15-21 Years

Job Summary: We are seeking an experienced AI QE Architect to lead the design and evolution of ZenseAI.QI and ZenseAI.AssureAI platforms. The role requires expertise in Quality Engineering, Generative AI, Agentic AI, AI Assurance, and Evaluation-Driven Development, along with strong client-facing and presales capabilities.

Key Responsibilities

  • Architect AI-powered Quality Engineering and AI Assurance solutions.
  • Design evaluation frameworks, LLM assessment models, AI governance, and risk controls.
  • Build and scale GenAI, Agentic AI, and ML assurance capabilities across cloud, hybrid, and on-prem environments.
  • Lead client workshops, solutioning, RFPs/RFIs, and CXO-level presentations.
  • Drive AI QA transformation programs and proof-of-concept initiatives.
  • Contribute to practice IP, accelerators, and mentor AI engineering teams.

Must-Have Skills

  • 15-21 years of IT experience with strong Quality Engineering/Test Architecture background.
  • Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, AI Agents, and AI Evaluation Frameworks.
  • Expertise in LLM-as-Judge, Red Teaming, AI Governance, AI Testing, and AI Assurance.
  • Strong understanding of Azure AI/OpenAI and enterprise AI architectures.
  • Presales, solutioning, RFP response, and stakeholder management experience.
  • Knowledge of EU AI Act, NIST AI RMF, and ISO 42001.

Preferred Target Profiles: Principal AI Architect, AI Assurance Architect, GenAI Architect, AI Practice Lead, QE Architect, or Head of AI Engineering from product companies or leading technology consulting organizations.Role & responsibilities

Preferred candidate profile

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