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GenAI Architect

GenAI Architect

Wipro

5 - 8 years

12 - 17 Lacs

hyderabad

Posted:19 hours ago| Platform:

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Skills Required

compliance software development software testing scikit-learn regression testing predictive analytics ai llm analytics tensorflow development environments regression quality assurance pytorch testing methodologies ml architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

GenAI Architect

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.

Expertise & Qualifications:

Deep expertise in AI-driven testing methodologies, including smart regression, predictive analytics, and AI-powered test case generation.
Proven experience designing and deploying agentic AI systems, autonomous agents, and Multi-Chain Processing (MCP) workflows.
Strong understanding of large language model (LLM) applications in software testing and quality assurance.
Skilled in orchestrating AI workflows and pipelines using frameworks like LangChain, LangSmith, or custom agent architectures.
Solid background in software testing principles, automation frameworks, and Quality Engineering processes.
Familiarity with advanced GenAI tools such as AutoGPT, BabyAGI, AgentGPT, and orchestration frameworks.
Excellent problem-solving, communication, and collaboration skills across cross-functional teams.

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.

Preferred Qualifications:

Prior experience integrating AI agents and multi-chain AI workflows in enterprise QE or software development environments.
Demonstrated success in deploying GenAI solutions to accelerate regression testing and defect prediction.
Certifications in AI/ML, software architecture, or quality engineering.
Experience with security and compliance in AI-enabled testing solutions.

Mandatory Skills: Gen AI Test Consulting .

Experience: 5-8 Years .

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