Role : GCP Gen AI

Experience: 6+Years

JD:

Technical Requirements

- Experience: Experience in AI/ML.
- GCP Ecosystem: Vertex AI, Gemini Enterprise (Agentspace), Google ADK, Agent Engine and Cloud Run.
- Frameworks: LangChain, MCP, and A2A architectures.
- Programming: Expert-level Python (NumPy, ScaPy, Pandas, FastAPI, and other associated libraries).
- DevOps: Proven experience in MLOps/LLMOps.

Key Responsibilities

- Agentic Development: Design and deploy full-stack Agentic AI applications using the Google Agent Development Kit (ADK) , Agent Engine, Vertex-AI.
- Third-Party Integration: Build agents capable of executing Tool Use / Function Calling to interact with external REST APIs (e.g., Salesforce, Workday, or custom portals).
- Legacy Data Access:



Implement logic within AI agents to securely fetch, parse, and process files from SFTP servers to supplement real-time data needs.
- Enterprise Integration: Develop agents capable of A2A (Agent-to-Agent) communication and MCP (Model Context Protocol) interaction, specifically focusing on integration with enterprise software like SAP.
- System Architecture: Deploy AI agents on backend services such as Cloud Run and build intuitive front-end interfaces (custom / using frameworks like Streamlit or Gradio)

📌 GCP Gen AI (India)
🏢 Tata Consultancy Services
📍 India