AI Solution Architect I

HCLTech • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • Java • TypeScript • SQL • 1 day ago
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Salary
≈ $123k – $239k per year (Estimated)
Location
In office (United States)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 18, 2026.

Overview
Company
Impact
Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.
hcltech.com • HQ: Noida, India • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976
Tech stack of HCLTech

Job Summary

Job Title: Forward Deployed Engineer (FDE), Gemini Enterprise

The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. You will be the technical lead responsible for deploying Gemini Enterprise App and Gemini Enterprise Agent Platform within client environments. You will architect and code the "connective tissue" that allows Gemini agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance.

Key Responsibilities

Key Responsibilities

  • Agentic Architecture: Design multi-agent systems using the Agent Development Kit (ADK), implementing patterns like hierarchical delegation and self-reflection.
  • Production Implementation: Move beyond prototypes. You will write the production code that integrates Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems (SAP, Salesforce, etc.).
  • The "Grounding" Expert: Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and BigQuery, ensuring agents have "zero-hallucination" access to enterprise truths.
  • Governance & Security: Deploy Agent Identity and Agent Gateway protocols to ensure every AI action is auditable, secure, and compliant with regional data residency laws.
  • Field-to-Product Loop: Act as the "eyes and ears" for Google’s core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules.

Skill Requirements

Technical Requirements

Domain Stack Expertise

AI/ML Platform Gemini 3.0, Gemini Enterprise Agent Platform, Agent Studio, Vertex AI

Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs

Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow

Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE)

Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs

Other Requirements

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