AI / NLQ Data Engineer

Job Title :

Data Engineer (AI / NLQ)

Location : Miami, FL (osnite)

Type : 6 months CTH

Job Overview :

We are seeking a seasoned Data Engineer to support the implementation and optimization of Cortex and other AI-driven platforms. This role is pivotal in building scalable, governed data infrastructure that enables natural language querying and intelligent data retrieval across enterprise systems.

Key Responsibilities

• Cortex Implementation : Contribute to the deployment and integration of Cortex, enabling seamless NLQ (Natural Language Querying) experiences across the organization.
• Semantic Layer Design : Architect and maintain a governed semantic layer that ensures accurate, secure, and performant data access for AI tools and agents.
• Cross-functional Collaboration : Partner with AI Engineers and Functional Data Experts (FDEs) to model data for AI agents, retrieval pipelines, and analytics use cases-optimizing for correctness, scalability, and permissioning.
• Machine Learning Development : Design and implement machine learning algorithms and optimization models using frameworks such as PyTorch, TensorFlow, Scikit-Learn, and MLlib.
• Operationalization of AI Layers : Translate semantic models into production-ready AI layers that support real-time NLQ and retrieval workflows; experience with Cortex or similar platforms is highly desirable.
• Programming Expertise : Proficient in Python and familiar with modern software engineering practices.
• ELT & Data Quality : Skilled in ELT tooling (e.g., AWS Glue) and implementing robust data quality frameworks.
• Governance & Compliance : Deep understanding of enterprise data governance, PII handling, and audit requirements, including SOX-adjacent constraints.

Qualifications