Senior Generative AI Technical Architect

Senior Generative AI Technical Architect (Google Cloud)

Client : Ulta

Rate : 90/hr

Location : Chicago, IL Onsite and Remote

Job ID

180826

Must Have

Hands on experience on the Google AI stack also on scaling agents, AI governance, Guard rails and multi agent concepts.

Role Summary

We are seeking a Senior Generative AI Technical Architect to define and lead the enterprise AI foundation architecture within the Google Cloud ecosystem. The ideal candidate will have hands-on experience building scalable GenAI platforms, agentic AI solutions, AI gateways, observability frameworks, and semantic data architectures that enable enterprise-wide AI adoption.

Key Responsibilities

• Define enterprise AI architecture, standards, and reusable design patterns.
• Architect GenAI and Agentic AI solutions using Vertex AI, Gemini, Agent Builder, and GCP services.
• Design and implement:
• AI Gateway / Model Gateway architectures
• Agentic and conversational AI platforms
• RAG and knowledge-based AI solutions
• Semantic data layers and AI-ready data architectures
• AI observability, monitoring, and governance frameworks
• Establish enterprise AI platform capabilities including security, scalability, model governance, and responsible AI.
• Build AI delivery frameworks, MLOps/LLMOps pipelines, and reusable accelerators.
• Partner with business, engineering, data, and product teams to drive AI strategy and execution.

Required Qualifications

• 12+ years of technology and architecture experience.
• 5+ years in cloud architecture and AI/ML platforms.
• 3+ years focused on Generative AI and LLM architectures.
• Proven experience designing foundational AI architectures on Google Cloud Platform (GCP).
• Expertise in:
• Gemini, Vertex AI, Agent Builder
• Agentic AI and Multi-Agent Systems
• RAG, Vector Databases, Knowledge Graphs
• AI Gateway and Model Routing
• AI Observability and Monitoring
• Semantic Layer Architecture
• MLOps, LLMOps, and AI Governance
• Kubernetes, APIs, Event-Driven Architectures

Preferred Qualifications

• Google Cloud Professional Cloud Architect certification.
• Experience with MCP (Model Context Protocol), AI delivery factories, and enterprise AI platform modernization.
• Experience establishing AI governance, responsible AI practices, and enterprise-scale GenAI operating models.