GenAI Architect | GCP Enterprise AI Solutions

Ethereum Technologies; Columbus (OH); On-site; USD 170,000 - 260,000; Full time

Job summary

Ethereum Technologies is seeking an experienced GenAI Architect to design and implement scalable, secure GenAI solutions integrated into business applications and product platforms. You will lead end-to-end architecture for enterprise-grade GenAI, leveraging LLMs, embeddings, RAG, multi-agent systems, and responsible AI practices on GCP.

The role requires 6+ years in software or ML architecture, 2+ years with GenAI, and strong Python/Java skills, with a focus on enterprise governance and data

Qualifications

• 6+ years of experience in Software Architecture, ML Engineering, Platform Engineering, or related fields.
• 2+ years 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

Software architecture

ML engineering

Platform engineering

Python

Java

GCP

GenAI solutions

Governance

Data architecture

Job description

Ethereum Technologies is seeking an experienced GenAI Architect to design and implement scalable, secure GenAI solutions integrated into business applications and product platforms. You will lead end-to-end architecture for enterprise-grade GenAI, leveraging LLMs, embeddings, RAG, multi-agent systems, and responsible AI practices on GCP.

The role requires 6+ years in software or ML architecture, 2+ years with GenAI, and strong Python/Java skills, with a focus on enterprise governance and data