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PwC brand and Bangalore location increase applicant density, but highly specialized Agentic AI/GCP skills limit candidate pool.
Highly specialized Agentic AI and GCP Vertex/Gemini expertise limits cross-industry transferability.
Explicit 7-12 years and mandatory specialized Agentic AI and GCP stack create strict shortlisting filters.
Design, develop, and architect scalable Agentic AI and Generative AI solutions using Google Cloud Platform services including Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, and Gemini Enterprise.
Define and implement agent workflows, orchestration, multi-agent collaboration, tool integration, and memory models for enterprise-grade AI solutions.
Collaborate with business stakeholders to translate requirements into AI architectures, lead technical solution discussions, mentor juniors, and drive delivery of AI/GenAI workloads on GCP.
7-12 years of relevant work experience.
Strong hands-on experience with AI/ML, Generative AI, Agentic AI, and Google Cloud Platform including Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Bachelor's degree in Engineering (BE, B.Tech) required; master’s degree (ME, M.Tech, MBA, MCA) also acceptable; minimum 60% aggregate.
Strong programming skills in Python, with knowledge of APIs, microservices, and cloud-native deployment.
Experienced practitioner in architecting enterprise-grade GenAI and Agentic AI solutions on Google Cloud, with deep understanding of LLMs, prompt engineering, RAG, and vector search methods.
Proven ability to lead solution design and provide technical guidance in client-facing or consulting roles with experience in developing demos, accelerators, and proof-of-concept solutions.
Operationally skilled at integrating AI agent workflows with enterprise systems, ensuring security, scalability, reliability, and compliance in AI architectures.