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# Platform Engineer III

- **Company:** HCL Technologies
- **Location:** Tampa, FL, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Data Architecture, Data Flow Control, Python (Programming Language), NoSQL, Gemini Enterprise (Agent Platform), Azure Machine Learning, Salesforce.Com, SAP (Applications), Search Technologies, Software Engineering, SQL Databases, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Vertex AI Vector Search, Kubernetes, Production Code, Google Gemini, Observability for Autonomous Agents, Restful APIs, Grpc, Apache Beam
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/platform-engineer-iii-tampa-fl--9d3d6d89-6084-4045-a8a1-9ae46e0c5e4e

## About the Role

Use Cases, Software Engineering, Technical Leadership, Corporate Governance, Industry/Trade Analysis, Automation, Artificial Intelligence (AI), Cloud Computing, Enterprise Applications, Consulting

## Description

* 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