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the design and implementation of Generative AI and Agentic AI-based solutions using industry-standard tools such as GitHub Copilot, Claude Code, Cursor, and frameworks including Autogen, LangGraph, CrewAI, and Google ADK/SDK.\n\nKey Responsibilities : \n\n- Architect, develop, and integrate scalable AI agents and multi-agent workflows to automate Quality Engineering, testing, and business processes.\n\n- Drive prompt engineering initiatives by designing, optimizing, and governing prompts, skill files, system instructions, and agent workflows.\n\n- Lead AI Assurance activities, including functional validation, response evaluation, safety testing, risk assessment, and performance benchmarking.\n\n- Collaborate with client stakeholders, architects, and delivery teams to translate business requirements into scalable AI-powered solutions.\n\n- Provide technical guidance and mentorship to junior engineers in prompt engineering, agent development, and AI testing.\n\n- Build reusable AI 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