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Tier-1 employer and Bangalore location increase applicant density, but niche Agentic AI/GCP specialization limits competition.
Specialized Agentic AI, LLM, and GCP technology requirements make skills less transferable across industries.
Explicit 7–12 years requirement plus mandatory Agentic AI and GCP expertise makes shortlisting highly selective.
Design, develop, and deploy scalable Agentic AI solutions using Google Cloud technologies such as Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.
Architect and implement enterprise-grade Generative AI and LLM-based solutions, defining agent workflows, orchestration, tool integration, memory, reasoning, and multi-agent collaboration models.
Collaborate with business stakeholders to translate requirements into AI-led solutions; lead technical design discussions; mentor junior team members; support demos, prototypes, and client presentations.
7-12 years of professional experience.
Strong hands-on expertise in AI/ML, Generative AI, and Agentic AI, including designing and implementing AI agents and multi-agent workflows.
Proficient with Google Cloud Platform services relevant to GenAI (Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, Gemini Enterprise).
Educational qualification: Bachelor’s or Master’s degree in Engineering, Technology, MBA, or MCA with 60% or above.
Experienced in architecting scalable, secure, and reliable Agentic AI and Generative AI solutions for enterprise use cases on Google Cloud.
Strong programming skills in Python with a solid understanding of APIs, microservices, cloud-native deployment, and LLM concepts including prompt engineering, RAG, embeddings, and vector search.
Demonstrated ability to work in client-facing roles with consulting or solutioning experience and to communicate complex AI concepts effectively to technical and business stakeholders.