Job Role:-AI / GenAI & Lakehouse Applications Engineer
Job Location:- Abu Dhabi, UAE
Experience:-5+ Years
Role SummaryEnable and operationalize production-grade AI, Generative AI, and Lakehouse Applications on Databricks, ensuring governance, scalability, security, and alignment with enterprise data intelligence standards.
Key Responsibilities- Implement ML lifecycle management using MLflow (experiment tracking, model registry, controlled promotion)
- Design and manage Feature Store assets with proper versioning, reuse, and governance
- Enable Generative AI workloads including prompt management, embeddings, and inference patterns
- Build and deploy Lakehouse Applications for governed AI and analytics consumption
- Implement conversational analytics solutions with secure and semantically consistent access
- Design scalable inference architectures for real-time and batch workloads
- Monitor model performance, feature drift, and data drift
- Ensure AI/GenAI workloads comply with governance policies and access controls
Secondary Responsibilities- Integrate AI workflows into CI/CD pipelines and orchestration frameworks
- Collaborate with Platform and DataOps teams for cost, scalability, and reliability optimization
- Communicate AI risks, limitations, and governance considerations to stakeholders
Required Skills & Experience- Strong hands-on experience with MLflow and ML lifecycle management
- Experience with Feature Store concepts and governed feature engineering
- Exposure to Generative AI concepts (LLMs, embeddings, prompt engineering)
- Experience deploying scalable batch and real-time inference solutions
- Understanding of data governance, access control, and secure AI deployment
- CI/CD and production AI operations experience
