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CV

AI Architect

Compu-Vision Consulting Inc.
Location not stated
Hybrid
Senior
3 days ago
  • AI
  • Machine Learning
  • RAG
  • Natural Language Processing
  • MLOps
  • Azure
  • Copilot
  • AI/ML
  • Azure AI
  • Foundry
  • Azure OpenAI
  • Databricks
  • MLflow
  • Python
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4. AI Architect

Role Overview
Seeking a seniorArtificial Intelligence Architect to define enterprise AI architecture, technical strategy, governance, solution patterns, and implementation approaches for AI, machine learning, Generative AI, and intelligent automation initiatives.

Key Responsibilities
  • Develop enterprise AI and GenAI architecture.
  • Translate business use cases into secure, scalable AI solutions.
  • Architect LLM, RAG, agentic AI, NLP, predictive ML, and intelligent automation solutions where appropriate.
  • Design AI platform, model, data, integration, security, and deployment architecture.
  • Establish reusable AI architecture patterns and standards.
  • Evaluate commercial and open-source AI technologies.
  • Design integrations between AI solutions and enterprise applications/data.
  • Define MLOps/LLMOps architecture.
  • Address model security, privacy, responsible AI, explainability, monitoring, and governance.
  • Collaborate with enterprise architecture, data, cybersecurity, cloud, and application teams.
  • Conduct AI readiness assessments and develop AI roadmaps.
  • Support Microsoft Azure AI and Copilot-related initiatives where appropriate.

Mandatory Qualifications
  • 8+ years in technology architecture/software/data roles.
  • 3+ years designing enterprise AI/ML solutions.
  • Strong understanding of GenAI and modern AI architectures.
  • Experience with LLMs, RAG, embeddings/vector databases, model APIs, ML pipelines, and enterprise integrations.
  • Cloud AI platform experience.
  • AI security and governance knowledge.
  • Ability to explain AI architecture to technical and executive audiences.

Highly Preferred
  • Azure AI Foundry / Azure AI services.
  • Azure OpenAI.
  • Microsoft Copilot ecosystem.
  • Databricks.
  • MLflow.
  • Python.
  • Responsible AI frameworks.
  • Agentic AI.
  • MLOps/LLMOps.

AI Architect · Compu-Vision Consulting Inc.

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