What are the responsibilities and job description for the Senior AI Data Engineer – Enterprise Data Platforms position at R3 Technology Inc?
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 10 years of experience in Data Engineering, Data Architecture, or Data Platform Engineering.
- Strong expertise in cloud platforms such as Azure, AWS, or GCP.
- Deep experience with modern data ecosystems including data lakes, lakehouses, data warehouses, and streaming platforms.
- Experience building and supporting AI/ML data pipelines and feature engineering workflows.
- Familiarity with feature stores, model lifecycle support, and ML operationalization.
- Experience designing and implementing LLM-related data pipelines.
- Strong understanding of data governance, metadata management, lineage, security, and compliance frameworks.
- Proficiency with SQL, Python, Spark, and modern data integration technologies.
- Experience working with distributed data processing frameworks and large-scale datasets.
Preferred Qualifications
- Experience building data platforms that support AI agents and agentic workflows.
- Knowledge of Retrieval-Augmented Generation (RAG) architectures and semantic search solutions.
- Experience with vector databases, embeddings, and knowledge graph technologies.
- Exposure to data mesh and domain-oriented data architecture principles.
- Experience supporting enterprise AI transformation initiatives.
- Familiarity with MLOps, DataOps, and platform engineering practices.
- Experience working in highly regulated enterprise environments.
Salary : $60 - $65