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Tier-1 employer and metro location but highly specialized Agentic AI/GCP skills reduce applicant pool.
High—platform-specific Agentic AI and GCP expertise narrows transferable candidate pool.
Explicit 7-12 years plus mandatory GCP, Vertex AI, Gemini and Agentic AI expertise.
Design, develop, and deploy scalable Agentic AI and Generative AI solutions using Google Cloud Platform tools such as Vertex AI, Google ADK, Agent Engine, and Gemini Enterprise.
Architect agent-based workflows including design patterns for orchestration, memory, reasoning, tool integration, and multi-agent collaboration.
Collaborate with business stakeholders to translate requirements into AI solution architectures and lead technical guidance and mentorship for engineering teams.
7-12 years of relevant experience in AI/ML, Generative AI, Agentic AI, and Google Cloud Platform solutions.
Strong hands-on expertise with Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Proficiency in Python programming, APIs, microservices, and cloud-native deployment.
Bachelor of Engineering (BE/B.Tech) or equivalent with minimum 60% marks.
Deep technical competence in designing enterprise-grade GenAI and Agentic AI solutions with direct experience in MLOps/LLMOps on GCP.
Proven ability to lead solution design discussions and convert complex business problems into scalable AI architectures.
Experienced in client-facing roles and able to communicate complex AI concepts effectively with business and technical stakeholders.