Enterprise AI Solution Architect — Agentic & Gemini

HCLTech; San Francisco (CA); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech is seeking an AI Solution Architect to lead the design and deployment of Gemini Enterprise across client environments. This hybrid role involves crafting Agentic use cases, architecting multi-agent systems, and delivering production-grade integrations with enterprise APIs and ERP systems.

Ideal candidates will implement zero-hallucination reasoning across private silos, ensure governance, and collaborate with product teams to create reusable Skills for scalable deployment.

Qualifications

• Experience in AI solution architecture and multi-agent systems.
• Knowledge of integrating with SAP, Salesforce, and ERP systems.
• Experience with governance and data residency compliance.

Responsibilities

• Identify customer Persona and craft Agentic use cases for Gemini Enterprise.
• Design multi-agent systems using the Agent Development Kit and patterns like delegation.
• Write production code to integrate Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems.
• Build and optimize RAG pipelines using Vertex AI Search and BigQuery.
• Governance and security: deploy Agent Identity and Agent Gateway protocols for auditable AI actions.
• Collaborate with product teams to build reusable Skills and modules.

Skills

Python (Advanced)

Go

Java

TypeScript

REST/gRPC APIs

Tools

BigQuery

Vector Search

AlloyDB

Apache Beam / Dataflow

Job description

HCLTech is seeking an AI Solution Architect to lead the design and deployment of Gemini Enterprise across client environments. This hybrid role involves crafting Agentic use cases, architecting multi-agent systems, and delivering production-grade integrations with enterprise APIs and ERP systems.

Ideal candidates will implement zero-hallucination reasoning across private silos, ensure governance, and collaborate with product teams to create reusable Skills for scalable deployment.