Wipro Agentic AI QE Architect Jobs in Hyderabad

Job Overview

Wipro is seeking an experienced Agentic AI QE Architect for a senior solution architecture opportunity in Hyderabad. This role focuses on combining Quality Engineering, test architecture, Generative AI, Agentic AI, and enterprise technology architecture to create intelligent testing ecosystems for large-scale organizations.

The position is designed for a professional who can shape AI-native quality engineering strategies across the software development lifecycle. The successful candidate will architect autonomous testing capabilities, define multi-agent interaction models, establish suitable governance approaches, and help enterprise customers use AI to improve engineering productivity and software quality.

This is an individual contributor and solution architect role requiring strong technical depth, architecture experience, and the ability to work with stakeholders in consulting environments. The role also involves translating complex AI capabilities into practical Quality Engineering solutions that can be adopted and scaled across customer portfolios.

Key Responsibilities

• Design enterprise-grade Agentic AI architectures for Quality Engineering and software testing.
• Define AI agents that can support activities such as requirements analysis, test design, test data engineering, automation development, defect analysis, impact assessment, and release readiness.
• Establish suitable agent interaction patterns, reasoning flows, memory approaches, and orchestration models.
• Architect AI-native Quality Engineering ecosystems that can support autonomous and intelligent testing workflows.
• Develop or guide multi-agent systems and AI orchestration approaches for enterprise use cases.
• Apply retrieval-augmented generation and large language model capabilities to Quality Engineering solutions.
• Help customers identify opportunities where AI automation can reduce testing effort and improve release confidence.
• Define approaches for measuring AI-led improvements in test execution, asset reuse, automation coverage, defect prediction, and release readiness.
• Work with enterprise stakeholders to shape solution architecture and guide adoption of Agentic AI capabilities.
• Support scalable transformation programs by connecting AI architecture with established Quality Engineering and testing practices.

Required Skills

Candidates should have extensive experience in Quality Engineering and Test Architecture, with a strong understanding of enterprise-scale automation. The role requires the ability to design solutions rather than only implement individual testing components.

Strong knowledge of Agentic AI and Generative AI concepts is essential. Candidates should understand multi-agent systems, autonomous software workflows, LLM orchestration, prompt engineering, retrieval-augmented generation, vector databases, knowledge graphs, and AI evaluation frameworks.

Hands-on experience with AI agents and orchestration workflows is required. Candidates should also have experience implementing enterprise solutions based on large language models and RAG architectures.

The role requires strong consulting and stakeholder management capabilities because the architect will work with enterprise customers and help guide transformation initiatives. Candidates should be able to explain architecture decisions clearly, understand business objectives, and translate them into scalable technical solutions.

Preferred Skills

Experience with enterprise AI platforms such as AI Foundry, Amazon Bedrock, or Google Vertex AI can be valuable. Exposure to MCP, Agent-to-Agent frameworks, and AI governance models is also preferred.

Relevant certifications in Azure AI, AWS AI or machine learning, Google AI, or enterprise architecture may strengthen a candidate's profile. These certifications are listed as preferred and are not stated as mandatory requirements.

Education

The supplied job description does not specify a mandatory degree or educational qualification. Candidates should provide accurate academic information and emphasize relevant professional experience in Quality Engineering, test architecture, AI, Generative AI, and enterprise solution architecture.

Experience

The stated experience requirement is 12 to 15 years in Quality Engineering and Test Architecture, with at least 3 years of experience in AI or Generative AI solution architecture. The role also requires proven experience designing enterprise-scale automation and Quality Engineering platforms.

Candidates should demonstrate hands-on experience building AI agents, orchestration workflows, RAG-based enterprise solutions, and scalable automation capabilities. The job posting also identifies Gen AI Automation Testing as a mandatory skill and separately mentions experience of more than 10 years.

Required Technologies

• Multi-Agent Systems
• Generative AI
• Agentic AI
• LLM Orchestration
• Prompt Engineering
• Retrieval-Augmented Generation
• Vector Databases
• Knowledge Graphs
• AI Evaluation Frameworks
• OpenAI
• Azure OpenAI
• Anthropic Claude
• Gemini
• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• Hugging Face

The preferred technology and platform exposure includes AI Foundry, Amazon Bedrock, Vertex AI, MCP, and Agent-to-Agent frameworks.

Soft Skills

Strong stakeholder management and consulting skills are important for this position. The role requires an architect who can communicate technical concepts effectively, work with enterprise stakeholders, and guide customers through AI-led Quality Engineering transformation.

Strategic thinking, technical ownership, structured problem solving, and the ability to connect business objectives with architecture decisions are also important for a senior solution architect. Candidates should be comfortable working with complex technical subjects while keeping customer outcomes and measurable engineering improvements in focus.

Benefits of Working in this Role

This role provides an opportunity to work on advanced AI-driven Quality Engineering initiatives and enterprise-scale automation. The position combines established software testing practices with emerging Agentic AI and Generative AI technologies, allowing experienced professionals to work on modern approaches to software quality and engineering productivity.

The role also offers exposure to enterprise architecture, AI orchestration, LLM-based solutions, RAG, multi-agent systems, and customer transformation programs. These areas can support continued development toward senior architecture and AI transformation leadership responsibilities.

Work Mode

The supplied job description identifies Hyderabad as the location but does not explicitly state whether the role is onsite, hybrid, or remote. The work arrangement should therefore be confirmed with Wipro during the recruitment process.

Location

The primary location provided for this opportunity is Hyderabad, Telangana, India. Candidates should verify the final work location and any applicable location requirements directly through the official Wipro application process.

Who Should Apply

This opportunity is best suited to senior Quality Engineering and Test Architecture professionals with substantial experience designing enterprise automation platforms and leading technical transformation initiatives. It is particularly relevant to professionals who have moved into Generative AI, Agentic AI, or AI-powered testing architecture.

Candidates should be able to demonstrate practical experience with AI agents, LLM orchestration, RAG, enterprise AI solutions, and Quality Engineering. Professionals with consulting experience and strong stakeholder management skills may be well aligned with the solution architect nature of the position.

Career Growth

Working in an Agentic AI QE Architect role can help experienced professionals deepen their expertise in AI architecture, autonomous testing, enterprise automation, and Quality Engineering transformation. The combination of technical architecture and customer consulting can also support progression toward senior solution architect, AI transformation architect, enterprise AI architecture, or broader technology leadership roles, depending on individual performance and career direction.

Application Advice

When applying for this Wipro Agentic AI QE Architect opportunity, clearly highlight your Quality Engineering and Test Architecture experience. Explain the scale of automation platforms you have designed and the types of testing or engineering problems they addressed.

Give specific attention to your experience with Generative AI, Agentic AI, LLM orchestration, AI agents, RAG, prompt engineering, vector databases, knowledge graphs, and AI evaluation. If you have worked with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Hugging Face, OpenAI, Azure OpenAI, Claude, or Gemini, describe the practical work you performed rather than listing technologies without context.

Also mention relevant enterprise AI platform experience, AI governance exposure, certifications, and customer-facing architecture responsibilities where applicable. Do not add qualifications, certifications, or technology experience that you do not actually possess.

The provided job description does not include a salary, application deadline, or specific educational requirement, so those details should not be assumed.