GenAI Architect on GCP for Enterprise AI Solutions

Robotics Technologies LLC; Columbus (OH); On-site; USD 180,000 - 280,000; Full time

Job summary

Robotics Technologies LLC in the United States is seeking an experienced GenAI Architect to design and implement scalable GenAI solutions integrated into business apps and product platforms. You will own end-to-end architecture for enterprise GenAI, focusing on LLMs, embeddings, RAG, and multi-agent workflows.

You will guide engineering teams, build data pipelines, and apply MLOps, security, and governance across GCP-powered deployments.

Qualifications

• 6+ years in Software Architecture or related fields.
• 2+ years hands-on experience with AI/ML systems, incl. Generative AI.
• Proficient in Python, Java, or similar languages.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Experience designing 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 GenAI architecture for enterprise 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 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, 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

GenAI Architecture

ML Engineering

Cloud Architecture

Team Leadership

Prompt Engineering

Tools

GCP

Python

Java

Vector Search

MLOps

Job description

Robotics Technologies LLC in the United States is seeking an experienced GenAI Architect to design and implement scalable GenAI solutions integrated into business apps and product platforms. You will own end-to-end architecture for enterprise GenAI, focusing on LLMs, embeddings, RAG, and multi-agent workflows.

You will guide engineering teams, build data pipelines, and apply MLOps, security, and governance across GCP-powered deployments.