Artificial Intelligence Architect

Job Description

Job Description

4. AI Architect
Role Overview
Seeking a senior Artificial 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.

• 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.

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