Key Responsibilities
- Define enterprise GenAI architecture, standards, and reusable design patterns.
- Architect GenAI and Agentic AI solutions using Google Vertex AI, Gemini, and Agent Builder.
- Design AI Gateways, Model Routing, RAG, Vector Databases, and Knowledge Graph solutions.
- Build enterprise AI platforms with AI observability, monitoring, security, and governance.
- Implement MLOps/LLMOps pipelines and reusable AI delivery frameworks.
- Design semantic data layers and enterprise AI-ready data architectures.
- Lead multi-agent AI solutions and enterprise AI platform modernization.
- Collaborate with business, engineering, data, and product teams.
Required Skills
- 12+ years of IT/Architecture experience.
- 5+ years in Cloud and AI/ML architecture.
- 3+ years in Generative AI and LLM architecture.
- Strong Google Cloud Platform, Vertex AI, Gemini, and Agent Builder expertise.
- Agentic AI, Multi-Agent Systems, RAG, Vector DBs, and Knowledge Graphs.
- AI Gateway, Model Routing, AI Observability, and Semantic Layer.
- MLOps, LLMOps, AI Governance, Kubernetes, and API architectures.
- Knowledge of MCP (Model Context Protocol) is preferred.
Preferred Certification: Google Cloud Professional Cloud Architect.
Rate:
Not specified
Location:
Chicago
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior