GenAI Test Architect-Hyderabad/bangalore/Chennai
- others
- 8 - 13 years
- Hyderabad
- 20 days ago
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Job Description
GenAI with test architect experience, test frameworks, GenAI
tools/accelerators/experience in solutioning for AI use cases, RAG
Key Responsibilities:
- Architect and implement AI accelerators to enable smart delta regression testing and predictive
defect identification, significantly optimizing test cycle efficiency.
- Evaluate the feasibility and practicality of GenAI-driven test case generation using large language
models and agentic systems.
- Design, develop, and integrate intelligent autonomous agenitc workflows , agents and MCP
Servers into QE automation to enhance adaptability and scalability.
- Define and establish quality gates, regression SLA models, and feedback loops powered by AI-
driven analytics.
- Collaborate closely with QE, data science, and software engineering teams to embed AI/ML models, agent workflows, and orchestration pipelines into testing infrastructures.
- Continuously assess and adopt advanced GenAI frameworks like LangChain, LangSmith, Flowise
AI etc..
- Drive tool standardization and best practices for GenAI integration within QE processes.
- Provide technical leadership, mentorship, and evangelize AI-driven innovation across the
organization.
- Ensure compliance with the Customers security, privacy, and governance standards.
Tools & Technical Skills:
- AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn.
- Generative AI Platforms & LLMs: OpenAI GPT models (e.g., GPT-4, ChatGPT, Codex), Hugging
Face Transformers, Google Gemini, Anthropic Claude.
- Agent Frameworks & Autonomous Systems: AutoGPT, BabyAGI, LangChain Agents, LangSmith,
AgentGPT, Flowise AI, and similar.
- MCP Servers: Design and develop MCP servers
- Workflow Automation & Orchestration Tools: n8n, Zapier, Apache Airflow, Prefect used to build,automate, and orchestrate AI agents and GenAI workflows within QE pipelines.
- AI-Enhanced Test Automation: Integration of AI/ML into testing frameworks and CI/CD pipelines
(e.g., Jenkins, GitLab CI).
- Data Analytics & Visualization: Python (Pandas, NumPy), Jupyter Notebooks, Power BI, Tableau.
- Programming Languages: Python, R, Java, Scala.
- Cloud AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Test ArchitectEmployement Type: Full timeContact Details:
Company: otherLocation(s): Hyderabad
Keyskills: Tensorflow Pytorch open ai MCP auto gpt baby agi AWS Scikit-Learn Python
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