Job Summary

Gemini Enterprise Engineer

Role purpose

Build, integrate and deploy the conversational and agentic capabilities for all three use cases using Gemini Enterprise, ADK and Agent Engine.

Key responsibilities

- Configure Gemini Enterprise conversational experiences and develop the Financial, Clinical and Enterprise Architecture ADK agents.
- Deploy and register agents through Agent Engine and Gemini Enterprise.
- Implement intent classification, parameter extraction, clarification handling, orchestration and multi-turn context.
- Integrate agents with AtScale, BigQuery, the financial knowledge graph, GCS and Gemini Enterprise search and grounding.
- Configure BigQuery conversational analytics or Data Agent comparison paths where included.
- Implement application lookup, document-status functions, tool calling and approved MCP or A2A patterns where required.
- Implement grounding, citations, validation controls and unsupported-question handling.
- Configure logging and tracing and support access testing, demonstrations and documentation.

Required experience and skills

- 5+ years of cloud application, AI or data-solution engineering experience.
- Hands-on experience with Gemini Enterprise, ADK and Agent Engine.
- Experience developing conversational or agentic AI solutions.
- Knowledge of tool and function calling, orchestration and multi-agent patterns.
- Experience with BigQuery, enterprise search, grounding and citations.
- Ability to integrate semantic and knowledge services through APIs.
- Understanding of MCP, A2A, validation, safety controls and observability.

PoC staffing note: The onshore engineer leads stakeholder-facing design and integration. Offshore engineers focus on development, configuration, integration, testing and defect resolution

Key Responsibilities

Gemini Enterprise Engineer

Role purpose

Build,



integrate and deploy the conversational and agentic capabilities for all three use cases using Gemini Enterprise, ADK and Agent Engine.

Key responsibilities

- Configure Gemini Enterprise conversational experiences and develop the Financial, Clinical and Enterprise Architecture ADK agents.
- Deploy and register agents through Agent Engine and Gemini Enterprise.
- Implement intent classification, parameter extraction, clarification handling, orchestration and multi-turn context.
- Integrate agents with AtScale, BigQuery, the financial knowledge graph, GCS and Gemini Enterprise search and grounding.
- Configure BigQuery conversational analytics or Data Agent comparison paths where included.
- Implement application lookup, document-status functions, tool calling and approved MCP or A2A patterns where required.
- Implement grounding, citations, validation controls and unsupported-question handling.
- Configure logging and tracing and support access testing, demonstrations and documentation.

Required experience and skills

- 5+ years of cloud application, AI or data-solution engineering experience.
- Hands-on experience with Gemini Enterprise, ADK and Agent Engine.
- Experience developing conversational or agentic AI solutions.
- Knowledge of tool and function calling, orchestration and multi-agent patterns.
- Experience with BigQuery, enterprise search, grounding and citations.
- Ability to integrate semantic and knowledge services through APIs.
- Understanding of MCP, A2A, validation, safety controls and observability.

PoC staffing note: The onshore engineer leads stakeholder-facing design and integration. Offshore engineers focus on development, configuration, integration, testing and defect resolution

Skill Requirements

Must Have Skill

GCP BigQuery,Google Cloud Storage,Google Gemini,AI Agents

Valuable to Have Skill

Other Requirements

📌 Senior Technical Lead (Noida)
🏢 HCLTech
📍 Noida