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PwC brand and Bangalore metro increase applicant density despite niche Agentic AI specialization.
Role demands specialized Agentic AI and GCP experience, limiting transferability across industries.
Explicit 7–12 years requirement plus mandatory Agentic AI and GCP expertise creates strict shortlisting filters.
Design, develop, and deploy scalable Agentic AI and Generative AI solutions using Google Cloud Platform technologies including Vertex AI, Google ADK, GCP Agent Platform, and Gemini Enterprise.
Architect agent workflows, orchestration, tool integrations, and multi-agent collaboration models for enterprise AI use cases.
Lead solution design discussions, mentor junior team members, and ensure AI solutions meet enterprise architecture standards for scalability, security, and reliability.
7-12 years of professional experience in AI/ML and Generative AI solution development.
Strong hands-on experience with Google Cloud Platform and services like Vertex AI, GCP Agent Platform, Cloud Run, and Agent Engine.
Educational qualifications: BE/B.Tech/ME/M.Tech/MBA/MCA with minimum 60% marks.
Proficient programming skills in Python; experience in APIs, microservices, and cloud-native deployments.
Deep expertise in Agentic AI including multi-agent workflows, agent design patterns, and LLM concepts such as prompt engineering, grounding, RAG, and vector search.
Experience architecting enterprise-grade Generative AI solutions and integrating AI agents with enterprise systems, databases, and APIs.
Capable of leading client-facing solution design and mentoring teams with prior consulting or solutioning experience preferred.