AI Engineer (Contract)

About the Role

We are seeking an AI Engineer to design, develop, deploy, and monitor AI and machine learning solutions using Azure data and AI services. The role will build secure, scalable applications and workflows that address business needs and integrate with enterprise systems.

Key Responsibilities

• Design and develop AI solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services.
• Build and deploy machine learning models using Azure ML pipelines and SDKs.
• Create reusable frameworks, components, APIs, and accelerators.
• Develop integrations with SAP, Dynamics 365, Power Platform, Dataverse, HR systems, and other Azure services.
• Work with data engineers, analysts, and business stakeholders to translate requirements into AI solutions.
• Apply security, privacy, and data protection requirements in solution design and development.
• Monitor AI workloads using Azure Monitor, Application Insights, and MLOps practices.
• Evaluate and improve model performance, reliability, and cost efficiency.
• Document technical designs and test cases, and contribute to architecture discussions.

Requirements

• At least 3 years of experience developing and monitoring AI solutions in Azure-based enterprise environments.
• Hands-on experience designing and deploying AI/ML solutions on Azure.
• Proficiency in Python and Azure SDKs.
• Strong understanding of AI/ML fundamentals, including model training, evaluation, and deployment.
• Experience developing reusable frameworks, components, APIs, or accelerators.
• Familiarity with cloud-native development and CI/CD practices for ML workflows.
• Knowledge of Azure cloud, enterprise integration, and data platform development.
• Understanding of Microsoft Fabric and modern data platform patterns for ingestion, storage, serving, and governance.
• Hands-on understanding of Azure AI Studio and Azure AI Services for AI applications and agents, including evaluation, monitoring, and lifecycle considerations.
• Working knowledge of Copilot Studio, including connectors, actions, topics, orchestration, and enterprise deployment.
• Ability to implement security, identity and access management, compliance, and operational governance requirements in Azure solutions.
• Bachelor's degree in AI Engineering, Data Science Engineering, Computer Science, or another engineering discipline with relevant experience.
• Strong English communication, collaboration, and technical documentation skills.

Preferred Qualifications

• Experience with AI platform architecture, agent architecture, or enterprise copilots.
• Microsoft certifications such as Fabric Data Engineer Associate (DP-700) or Azure AI Engineer Associate (AI-102 or successor).