AI Solution Architect I

HCLTech; Santa Clara (CA); Hybrid; USD 170,000 - 250,000; Full time

Job summary

HCL Technologies Limited invites applications for Forward Deployed Engineer (FDE) in Santa Clara, CA. The role blends senior software engineering with strategic consulting to promote Agentic AI within Google Cloud AI tech stack, focusing on domain-specific processes and stakeholder alignment.

You will lead technical deployment of Gemini Enterprise App and Gemini Enterprise Agent Platform in client environments, architect the connective tissue for multi-agent reasoning, manage long-running

Qualifications

• Experience designing multi-agent systems and agent architectures.
• Production-grade integration with enterprise apps and APIs.
• Experience with enterprise data systems (SQL/NoSQL) and ERP integrations.

Responsibilities

• Identify customer use cases and design Day 1 interventions for Gemini Enterprise.
• Design multi-agent architectures using ADK with patterns like hierarchical delegation.
• Implement production code integrating Gemini with legacy APIs and ERP systems (SAP, Salesforce).
• Build RAG pipelines with Vertex AI Search and BigQuery for reliable enterprise data access.
• Ensure governance and security with agent identity and gateway protocols.
• Collaborate with product teams to create reusable Skills and modules.

Skills

Python

Go

Java

TypeScript

REST/gRPC APIs

Kubernetes

BigQuery

Vertex AI

GKE

Agent Development Kit (ADK)

Tools

Agent Development Kit (ADK)

Vertex AI

BigQuery

AlloyDB

Kubernetes (GKE)

Job description

Job Title: Forward Deployed Engineer (FDE), Gemini Enterprise
The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. The role involves Consulting on promoting Agentic AI with Domain(FS / RCPG / LSH, Manufturing / Tehcnology) specific knowledge on Process Automation with Business & IT team stakeholders on Google Cloud AI Tech Stack. It requires a solution oriented mindset to allign with domain specific process to Identify Agenti AI use Cases to address customer challenges and industry trends. 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

• Identify customer Persona and craft out Agentic intervention points and Day 1 use cases for Gemini Enterprise
• 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