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# GenAI Architect with GCP

- **Company:** Robotics Technologies LLC
- **Location:** Columbus, OH, United States
- **Experience:** Experienced
- **Salary:** $178,880
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Application Performance Management, Business Software, Cloud Computing, Computer Programming, Data Architecture, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Software Architecture, Cloud Services, Workflow Management Systems, Data Logging, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Web Filtering, Data Management, Machine Learning Operations, Model Inference, Software Version Control, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a8444619d399d912

## About the Role

* 6+ years of experience in Software Architecture, ML Engineering, Platform Engineering, or related fields.
 * 2+ years of hands-on experience working with AI/ML systems, including Generative AI.
 * Strong programming experience in Python, Java, or similar languages.
 * Strong hands-on experience with Google Cloud Platform (GCP).
 * Experience designing and implementing enterprise-grade GenAI solutions.
 * Experience with enterprise AI governance or regulated industry environments.
 * Familiarity with open-source AI ecosystems and foundation models.
 * Background in data platforms, analytics engineering, or data architecture.

## Description

We are seeking an experienced GenAI Architect with strong expertise in Generative AI, Google Cloud Platform (GCP), Machine Learning, and enterprise architecture. The ideal candidate will be responsible for designing and implementing scalable, secure, and enterprise-grade GenAI solutions integrated into business applications and product platforms..

Roles & Responsibilities:

 * Design and own end-to-end architecture for enterprise-grade Generative AI applications and product features.
 * Architect and implement GenAI solutions using Large Language Models (LLMs), foundation models, embeddings, and multimodal AI.
 * Design and develop Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval systems.
 * Implement AI agents, multi-agent systems, prompt engineering, and workflow orchestration.
 * Integrate GenAI capabilities into customer-facing and internal enterprise applications.
 * Define reusable architecture patterns, standards, and best practices for prompts, agents, and inference services.
 * Design scalable, modular, and low-latency AI architectures with model routing and fallback strategies.
 * Guide engineering teams on GenAI development, implementation, and integration.
 * Build and optimize data pipelines, document ingestion, chunking, embeddings, and vector search solutions.
 * Implement MLOps practices, including model versioning, deployment, monitoring, logging, and performance optimization.
 * Leverage GCP cloud services to build, deploy, and manage production-ready AI solutions.
 * Implement AI security controls, guardrails, content filtering, and responsible AI practices.
 * Ensure data privacy, governance, compliance, and security across GenAI solutions.
 * Optimize model inference, application performance, scalability, and cloud infrastructure costs.