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# AI Solution Architect I

- **Company:** HCLTech
- **Location:** London, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Continuous Integration, Data Architecture, Data Flow Control, Python (Programming Language), NoSQL, Azure Machine Learning, Salesforce.Com, SAP (Applications), Search Technologies, SQL Databases, TypeScript, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Kubernetes, Production Code, Restful APIs, Grpc, Apache Beam
- **Published:** June 29, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=1da2a1907cbb364a

## About the Role

Do you have experience in gRPC?

## Description

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., * 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


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