Azure AI Application Architect / MLOps Consultant

Key Responsibilities :

• Architect and implement intelligent applications using Azure AI services including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning.
• Lead AI experimentation initiatives to evaluate models, configurations, and deployment strategies aligned with business goals.
• Embed AI capabilities such as NLP, computer vision, speech recognition, and decision-making into enterprise applications.
• Integrate AI models with internal and external systems (web, mobile, APIs) ensuring seamless interaction with business logic.
• Design and implement scalable, low-latency, and high-availability AI components using Azure App Services, AKS, and serverless patterns.
• Provision and manage Azure AI Foundry workspaces, compute environments, and model endpoints.
• Implement secure access controls, RBAC, and data governance policies to ensure compliance and responsible AI practices.
• Guide development teams on MLOps best practices including model versioning, CI / CD pipelines, monitoring, and drift detection.
• Collaborate with business stakeholders to identify opportunities for AI-led process optimization and transformation.
• Contribute to internal AI strategy committees and innovation forums to shape enterprise AI adoption.
• Document architecture patterns, reusable components, and integration blueprints for AI applications.
• Actively participate in hands-on coding and development of AI Skills :

Azure AI & ML :

libraries (Pandas, TensorFlow, Scikit-learn, etc.)

Application Integration :

(ref : hirist.tech)