2 months ago
Hyderābād, IndiaStaff+
Responsibilities
- Architect enterprise-grade Agentic AI platforms for Quality Engineering.
- Design autonomous AI agents across requirements intelligence, test design generation, test data engineering, automation engineering, defect intelligence, impact analysis, and release readiness.
- Define agent interaction patterns, memory frameworks, reasoning flows, and orchestration models.
- Build multi-agent frameworks, AI-native Quality Engineering ecosystems, and governance models.
- Drive AI-led Quality Engineering transformations for enterprise customers and improve release cycles, quality, and engineering productivity.
Requirements
- 12–15 years of experience in Quality Engineering and Test Architecture.
- At least 3 years of experience in AI/GenAI-based solution architecture.
- Proven experience designing enterprise-scale automation and Quality Engineering platforms.
- Hands-on experience building AI agents and orchestration workflows.
- Experience implementing RAG and LLM-based enterprise solutions.
- Strong stakeholder management and consulting skills.
- Preferred experience with AI Foundry, Bedrock, Vertex AI, or similar enterprise AI platforms.
- Preferred exposure to MCP, Agent-to-Agent frameworks, and AI governance models.
- Relevant certifications in Azure AI, AWS AI/ML, Google AI, or enterprise architecture are preferred.
Categories
Solutions Engineering
About Wipro
Wipro is a global IT services and consulting firm that provides application development, cloud migration, infrastructure management, data/AI, and business process outsourcing for enterprises. It earns revenue through long-term outsourcing, managed services, and project-based consulting across multiple industries. Founded in 1945 and headquartered in Bangalore, India, Wipro is publicly traded (NYSE: WIT; NSE/BSE: WIPRO).