IN_Senior Associate_GCP Agentic AI SME_AI 50_Advisory_Bangalore

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 experiencerequired:

7-12Yrs

Education qualification:

BE,B.Tech, ME,M,Tech, MBA, MCA (60% above)