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Moderate competition from PwC brand and Bangalore metro, but niche Agentic AI skills limit applicant pool.
High—specialized Agentic AI and Vertex/Gemini expertise limits cross-industry transferability.
High due to explicit 7-12 years requirement and many mandatory GCP GenAI technical skills.
Design, develop, and deploy scalable Agentic AI and Generative AI solutions on Google Cloud Platform using Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Architect and implement multi-agent workflows, including orchestration, memory, reasoning, tool integration, and collaboration models for enterprise AI solutions.
Lead solution design discussions, translate business requirements into AI-led architectures, mentor junior members, and support prototype and client engagement activities.
7-12 years of professional experience in AI/ML, Generative AI, and Agentic AI with hands-on Google Cloud Platform expertise.
Strong programming skills in Python and knowledge of APIs, microservices, and cloud-native deployments.
Bachelor’s degree in Engineering (BE, B.Tech) or equivalent; master's or MBA preferred with minimum 60% marks.
Experience specifically with Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Experienced in architecting and deploying enterprise-grade Agentic AI/GenAI solutions integrating LLMs, prompt engineering, RAG, embeddings, and vector search on GCP.
Comfortable leading technical solution design and interfacing with business stakeholders to align AI implementations with enterprise requirements.
Familiar with applying AI governance, security, MLOps/LLMOps best practices, and delivering reusable AI solution accelerators and demos.