Data Integration Specialist ( AI Engineer )

We are looking for an AI Engineer to join an enterprise Data & AI team and help build production-ready AI/ML and Generative AI solutions integrated with modern data platforms.

This is a great opportunity for someone who enjoys working across AI, Machine Learning, Data Engineering, and Cloud technologies and wants to work on enterprise-scale use cases.

What You'll Do

• Design, develop and deploy AI/ML solutions for enterprise data products
• Build Generative AI / LLM solutions, including RAG and prompt engineering
• Develop solutions for predictive analytics, anomaly detection and automation
• Integrate AI/ML capabilities into data pipelines and lakehouse platforms
• Build and manage model training, deployment, inference and monitoring workflows
• Work with Azure, Microsoft Fabric and/or Databricks environments
• Implement MLOps practices including model versioning, CI/CD, monitoring and retraining
• Partner with Data Engineers, Architects, Product Owners and business stakeholders
• Ensure AI solutions are scalable, reliable, explainable and production-ready
• Follow enterprise AI governance and Responsible AI practices

What We’re Looking For

• Strong Python and/or SQL skills
• Hands-on experience in Machine Learning / AI Engineering
• Experience with model development, evaluation and deployment
• Experience with Generative AI, LLMs, RAG and Prompt Engineering
• Experience with Databricks / MLflow / Model Registry is highly desirable
• Exposure to Microsoft Fabric and Lakehouse architectures is a plus
• Knowledge of data pipelines, feature engineering and orchestration
• Understanding of MLOps, CI/CD, Git and model monitoring
• Experience working in Agile enterprise environments

Nice to Have

• Data governance and data quality knowledge
• Experience integrating AI into enterprise workflows

We're looking for an engineer who can go beyond building models — someone who can take AI from experimentation to production and integrate it into real enterprise data products and business processes.