Cloud Architect (Azure AI)

Key responsibilities

• Model Development: Build, fine-tune, and deploy AI models using the Azure AI Foundry platform, which includes a catalog of frontier and open-source models from partners like OpenAI and Hugging Face.
• Pipeline and Integration: Design and optimize AI pipelines for scalability, performance, and cost-effectiveness. Integrate AI models and agents with enterprise applications.
• Prompt Engineering: Implement prompt engineering and other techniques for effective model interaction and performance.
• Stakeholder Collaboration: Work with business stakeholders to understand requirements and translate AI concepts into deployable solutions.
• DevOps and CI/CD: Apply best practices in AI development, testing, and deployment using tools like Azure DevOps and Git for CI/CD pipelines.
• Responsible AI: Implement and adhere to responsible AI practices throughout the development lifecycle.

Required qualifications and skills

• Minimum Experience: 6-8 years of experience in AI/ML development with hands-on experience using Azure AI Foundry and related services.
• Programming: Strong programming skills in languages such as Python, C#, or equivalent.
• LLMs: Experience with large language models, prompt design, and AI integration.
• Azure: Familiarity with Azure services, particularly Azure DevOps, Azure Machine Learning, and Cognitive Services.
• Collaboration: Ability to work collaboratively in an agile environment and strong problem-solving skills.
• Tools: Familiarity with Git and CI/CD pipelines.