AI Solution Architect I

HCL Technologies Limited; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

HCL Technologies Limited in the United States is seeking a Forward Deployed Engineer to blend senior software engineering with strategic advisory. You will architect and implement Gemini Enterprise Agent Platform deployments, ensuring secure, auditable operations across client environments.

You will lead cross-functional work on production-grade integrations, with emphasis on RAG pipelines, governance, and reusable Skills for scalable deployments.

Qualifications

• Experience with multi-agent systems and the ADK.
• Experience integrating Gemini with legacy APIs and ERP systems (SAP, Salesforce).
• Knowledge of RAG pipelines and zero-hallucination access to enterprise truths.
• Security/governance in enterprise AI with data residency awareness.

Responsibilities

• Agentic Architecture: design multi-agent systems using the ADK.
• Production Implementation: integrate Gemini agents with legacy systems and databases.
• Grounding Expert: build RAG pipelines with Vertex AI Search and BigQuery.
• Governance & Security: deploy agent identity and gateway protocols for auditable actions.
• Field-to-Product Loop: identify friction points and collaborate to build reusable Skills.

Skills

AI/ML Platform Gemini 3.0

Gemini Enterprise Agent Platform

Agent Development Kit (ADK)

Python

Go/Java

TypeScript

REST/gRPC APIs

BigQuery

Vertex AI

Kubernetes (GKE)

RAG pipelines

Tools

Vertex AI Search

BigQuery

Apache Beam / Dataflow

Kubernetes (GKE)

Job description

Requisition ID122490-Posted09/04/2026

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

• 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