AI Architect

Job summary

AI Copilot Copilot Studio topics tools orchestration connectors Azure OpenAI Cognitive Services Form Recognizer Prompt Engineering and LLMbased solution design AIML Data Model deployment finetuning and customization Python PySpark largescale data processing Vector databases and AI knowledge systems DevOps ALM GitHub repos branching PR policies GitHub Actions Azure DevOps pipelines Power Platform ALM solutions environments Integration Development

What you’ll do

The AI Architect will design and implement AI solutions using various tools and technologies. Responsibilities include orchestration, deployment, and customization of AI models and systems.

Requirements

Candidates should have experience in AI and machine learning, particularly with Azure services and large-scale data processing. Proficiency in Python and familiarity with DevOps practices are also required.

Listed skills

• Microsoft Azure · Preferred
• GitHub · Preferred
• Organization · Preferred
• Attention to detail · Preferred
• Machine learning · Preferred
• Development · Preferred
• prompt engineering · Preferred
• Integration · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Copilot
• Orchestration
• Connectors
• Azure OpenAI
• Cognitive Services
• Form Recognizer
• Prompt Engineering
• LLM-based Solution Design
• AIML
• Data Model Deployment
• Finetuning
• Python
• PySpark
• Data Processing
• Vector Databases
• DevOps