Responsibilities
- AI Strategy & Solution Delivery Design and lead the execution of AI strategies leveraging Azure AI, Azure OpenAI Service, Azure Copilot Studio, Azure AI Foundry, Azure Machine Learning, and Cognitive Services.
- Design scalable and secure AI solutions using Azure Functions, AKS, and Databricks.
- Contribute to AI governance and ensure compliance with enterprise security and responsible AI standards.
- AI Development & Model Engineering Lead development of generative AI applications including LLMs, RAG models, AI agents, and custom pipelines.
- Implement prompt engineering, fine-tuning, and retrieval optimization.
- Design vector search architectures using Azure Cognitive Search and vector databases.
- Cloud, DevOps & MLOps Drive MLOps practices using Azure DevOps and GitHub Actions.
- Optimize cloud AI workloads for performance, cost, and security.
- Work with IaC tools such as Terraform, Bicep, and ARM templates for automation.
- Cross-Team Leadership Collaborate with data scientists, engineers, and stakeholders to deliver AI-driven solutions.
- Mentor engineering teams and conduct AI design and code reviews.
- Evaluate emerging AI technologies including LangChain, Semantic Kernel, and multi-agent frameworks.
Basic qualifications
10+ years of experience in AI/ML and Azure cloud environments. Strong proficiency in Python, C#, or R. Hands-on experience with M365 Copilot, Copilot Studio, Azure OpenAI, Bot Framework, and Cognitive Services. Deep understanding of LLMs, RAG architectures, and vector databases.
Preferred qualifications
Master s degree in Computer Science, AI, or related field. Azure certifications (AI-102, AZ-305, DP-100). Experience with multi-cloud AI strategies and enterprise-scale AI deployments.
For applications and inquiries, contact: hirings@openkyber.com
Tags & focus areas
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