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Tier-1 brand and metro location but niche Agentic AI specialization reduces broad applicant density.
Highly specialized Agentic AI and GCP expertise limits cross-industry transferability.
Explicit 7-12 years plus mandatory GCP/Vertex AI, Agentic AI, and Python requirements enforce strict filters.
Design and develop scalable enterprise AI agent solutions using Google Cloud technologies including Vertex AI, Google ADK, Agent Platform, Agent Engine, and Gemini Enterprise.
Architect and implement Generative AI and Large Language Model-based solutions including workflows, orchestration, and multi-agent collaboration, ensuring alignment with enterprise architecture standards.
Lead solution design discussions with stakeholders, provide technical guidance to teams, and mentor junior members while supporting prototype and demo development.
7 to 12 years of relevant work experience in AI/ML, Generative AI, Agentic AI, and Google Cloud Platform.
Strong hands-on expertise with Google Cloud Platform and GenAI services: Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, Gemini Enterprise.
Bachelor’s degree in Engineering or Technology (BE, B.Tech, ME, M.Tech), or MBA, MCA with minimum 60% marks.
Strong programming skills in Python along with experience in APIs, microservices, cloud-native deployment.
Experienced in architecting and deploying enterprise-grade AI agent and Generative AI solutions on GCP with good understanding of agent design patterns and multi-agent workflows.
Capable of translating complex business problems into AI/GenAI technical architectures, with prior client-facing and consulting experience preferred.
Knowledgeable in LLM concepts, prompt engineering, retrieval augmented generation (RAG), embeddings, and practices around MLOps/LLMOps, security, and compliance on cloud platforms.