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