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Senior Generative AI Technical Architect

Laiba Technologies LLC
Chicago, IL, United States
3 days ago
Apply on www.dice.com
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Training Data Application Programming Interfaces (APIs) Artificial Intelligence Cloud Engineering Software Design Patterns Graph Database Routing Azure Machine Learning Google Cloud Chatbots Retrieval-Augmented Generation Large Language Models
+10 more
Multi-Agent Systems IT Architecture Generative AI Agentic-AI Data Layers Event Driven Architecture AI Platforms Kubernetes Machine Learning Operations Google Gemini

Job description

  • Define enterprise AI architecture, standards, and reusable design patterns.
  • Architect GenAI and Agentic AI solutions using Vertex AI, Gemini, Agent Builder, and Google Cloud Platform 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.

Requirements

  • 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 (Google Cloud Platform).

  • 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

Apply for this position

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