INManagerGCP Agentic AI SMEGCCAdvisoryPune

Job Description & Summary:

We are looking for an experienced Agentic AI SME with strongexpertisein AI/ML Generative AI Agentic AI and Google Cloud Platform. The ideal candidate should have hands-on experience in designing building and deploying enterprise-grade AI agents and GenAI solutions using Vertex AI Google ADK GCP Agent Platform Cloud Run Agent Engine Vertex AI Search and Gemini Enterprise.

The candidate willbe responsible forarchitecting agent-based solutions defining agent design patterns integrating AI agents with enterprise systems and driving scalable implementation of Agentic AI solutions for business use cases.

Job Position Title:

GCPAgentic AI SME Location- Hybrid

Responsibilities:

• Design and develop scalable Agentic AI solutions using Google Cloudtechnologies..

• Build intelligent AI agents using Google ADK GCP Agent Platform Agent Engine Vertex AI and Gemini Enterprise.

• Define agent workflows orchestration patterns memory reasoning tool usage and multi-agent collaboration models.

• Architect and implement Generative AI and LLM-based solutions for enterprise use cases.

• Develop and deploy AI/ML and GenAI workloads on GCP including Cloud Run Vertex AI Vertex AI Search and Agent Engine.

• Collaborate with business stakeholders to understand requirements and convert them into AI-led technical solutions.

• Lead solution design discussions andprovidetechnical guidance to engineering teams.

• Evaluate and selectappropriate LLMs prompts grounding approaches retrieval patterns and agent frameworks.

• Implement RAG-based and search-driven GenAI solutions using Vertex AI Search Knowledge Graph.

• Ensure AI solutions are scalable secure reliable and aligned with enterprise architecture standards.

• Support prototype development solution accelerators demos and client presentations.

• Mentor junior team members and contribute to best practices around Agentic AI solution delivery.

Mandatory skill sets:

• Strong hands-on experience in AI/ML Generative AI and Agentic AI.

• Experience in designing and implementing AI agents and multi-agent workflows.

• Hands-onexpertisewith Google Cloud Platform and relevant GenAI services.

• Strong working knowledge of Vertex AI Google ADK GCP Agent Platform Agent Engine Cloud Run Vertex AI Search and Gemini Enterprise.

• Experience in Agent Design including planning reasoning orchestration tool integration memory and evaluation.

• Strong understanding of LLM concepts prompt engineering grounding RAG embeddings and vector search.

• Experience deploying AI/ML or GenAI applications in cloud environments.

• Strong programming experience in Python andgoodunderstanding of APIs microservices and cloud-native deployment.

• Ability to translate business problems into AI/GenAI solution architectures.

• Strong communicationskills with the ability to explain complex AI concepts to business and technical stakeholders.

Preferred skill sets:

• Experience with enterprise-grade GenAI solution architecture.

• Knowledge ofMLOps/LLMOpspractices on GCP.

• Exposure toresponsible AI model governance security and compliance considerations.

• Experience integrating AI agents with enterprise applications databases APIs and knowledge repositories.

• Experience in building demos accelerators proof of concepts and reusable solution assets.

• Prior consulting experience and client-facing solutioning experience will be an added advantage.

Years of experience:

7-12Yrs

Education qualification:

BE MEMTech MBA MCA (60% above)