AZURE AI CONSULTANTS:

On behalf of our Consulting client, Procom is searching for an Azure AI Consultant for a 6 month contract role. This position is remote.

AZURE AI CONSULTANTS - JOB DESCRIPTION:

We are seeking an experienced Azure Cloud Engineer with strong Azure AI and Generative AI expertise to join a dedicated team driving a strategic GenAI project. The engineer will play a critical role in designing, deploying, and optimizing cloud-based AI solutions using Microsoft Azure.

AZURE AI CONSULTANTS - MANDATORY SKILLS:

• 3–5+ years of hands-on experience as a Cloud Engineer on Microsoft Azure.
• Proven experience with Azure AI Services, especially Azure OpenAI, Azure Machine Learning, or Cognitive Services.
• Familiarity with deploying and managing LLMs or GenAI solutions in production environments.
• Strong knowledge of Azure core services (Compute, Storage, Networking, Identity, Monitoring).
• Solid understanding of cloud security principles, access controls, and identity management.
• Excellent collaboration and communication skills; ability to work closely with cross-functional teams.

AZURE AI CONSULTANTS – NICE-TO-HAVE SKILLS:

• Microsoft certifications (e.g., Azure Solutions Architect, Azure AI Engineer Associate, Azure DevOps Engineer).
• Experience in LLM fine-tuning, prompt engineering, or vector database integration (e.g., Azure Cognitive Search, Redis, or others).
• Familiarity with Responsible AI practices and AI governance in enterprise environments.

• Design, implement, and manage Azure infrastructure supporting AI/ML and GenAI workloads.
• Build and operationalize Azure AI services including Azure OpenAI, Cognitive Services, Azure Machine Learning, etc.
• Deploy and monitor GenAI models (e.g., GPT, LLMs) in Azure using best practices around scalability, performance, and cost optimization.
• Ensure security, compliance, and governance of cloud-based AI systems.
• Support troubleshooting, performance tuning, and continuous improvement of the GenAI platform.
• Contribute to documentation, best practices, and knowledge sharing within the project team.