GenAI Architect on GCP – Enterprise AI Solutions

Robotic Technologies Automation; Columbus (OH); On-site; USD 140,000 - 200,000; Full time

Job summary

Robotic Technologies Automation seeks an experienced GenAI Architect to design, develop, and scale enterprise-grade GenAI solutions integrated into business applications and product platforms. You will own end-to-end architecture for GenAI features, leverage LLMs, embeddings, and retrieval systems, and guide engineering teams on safe, scalable AI implementations.

You will implement retrieval-augmented generation, AI agents, prompt engineering, and workflow orchestration, with emphasis on data

Qualifications

• 6+ years of experience in Software Architecture, ML Engineering, Platform Engineering, or related fields.
• 2+ years of hands-on experience 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 environments.
• Familiarity with open-source AI ecosystems and foundation models.
• Background in data platforms, analytics engineering, or data architecture.

Responsibilities

• Design and own end-to-end architecture for enterprise-grade Generative AI applications and product features.
• Architect and implement GenAI solutions using 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.

Skills

Python/Java programming

GCP

GenAI systems

Enterprise architecture

ML engineering

RAG architectures

Prompt engineering

Tools

Vertex AI

BigQuery

Job description

Robotic Technologies Automation seeks an experienced GenAI Architect to design, develop, and scale enterprise-grade GenAI solutions integrated into business applications and product platforms. You will own end-to-end architecture for GenAI features, leverage LLMs, embeddings, and retrieval systems, and guide engineering teams on safe, scalable AI implementations.

You will implement retrieval-augmented generation, AI agents, prompt engineering, and workflow orchestration, with emphasis on data