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Tier-1 brand and metro location increase density, but niche Agentic AI skill reduces general competition.
Highly specialized Agentic AI and GCP expertise limits transferability across unrelated industries.
Explicit 7–12 years plus mandatory GCP/GenAI and Agentic AI expertise makes filters highly stringent.
Design, develop, and architect scalable Agentic AI and Generative AI solutions using Google Cloud Platform technologies such as Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, and Gemini Enterprise.
Define agent workflows, orchestration patterns, multi-agent collaboration models, and integrate AI agents with enterprise systems to address business use cases.
Lead solution design discussions, provide technical guidance, support prototype development, and mentor junior team members for AI solution delivery.
7-12 years of relevant experience in AI/ML, Generative AI, and Agentic AI solution development.
Hands-on expertise with Google Cloud Platform services including Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Strong programming skills in Python and good understanding of APIs, microservices, and cloud-native deployments.
Bachelor's degree in Engineering (BE/B.Tech) or equivalent; 60% or above academic score.
Deep expertise in designing and implementing enterprise-grade AI agents and multi-agent workflows on GCP with focus on Vertex AI and related technologies.
Experienced in architecting LLM-based solutions including prompt engineering, RAG, embeddings, vector search, and knowledge graph integrations.
Consulting experience with ability to translate complex business problems into scalable AI architectures and guide cross-functional teams.