Description

Design and implement production-grade AI solutions within the Azure ecosystem, translating business requirements into viable architectures.

Responsibilities

• Partner with Enterprise Architecture, App Dev, and Business teams to design pilot projects and production-ready solutions.
• Contribute to LLM operations by building infrastructure and operational capabilities for Azure AI deployment.
• Develop tools for data ingestion, feature engineering, and data management.
• Integrate security best practices into solutions to support streamlined CI/CD pipelines and secure software delivery.
• Establish Azure OpenAI service architectures tailored to support business requirements and perform application architecture validation.

Required Skills

• 5+ years of experience implementing cloud-based AI workloads on Azure.
• 1+ years of experience implementing Azure OpenAI solutions, including hands-on prompting and fine-tuning of GPT-3.5/Turbo and GPT-4/4o.
• Expertise in Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App Service, and Managed Identities.
• Proficiency in Python, R, Java, or C#.
• Strong experience with Bitbucket and Terraform for CI/CD.
• Practical knowledge of LLMOps, Generative AI, Deep Learning, and Machine Learning.
• Experience with Azure IaaS, PaaS, Customer Managed Keys, and Copilot Studio.
• Ability to gather non-functional requirements and conduct stress testing.

Preferred Skills

• Experience with AWS, Google Cloud, or Power Automate development.
• Azure AI Engineer Associate or Azure Solutions Architect Expert certifications.

Key Skills

Education

Any Graduate