AI Consultant – Agentic AI (Data Engineering)

Minimum YoE : 5 Years

Data Engineering & Azure Ecosystem : Strong hands-on experience with

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Blob Storage

Azure Machine Learning, Azure DevOps, Azure Kubernetes Service (AKS)

Agentic AI Enablement : Experience supporting

GPT model fine-tuning, data preparation for LLMs, synthetic data generation

Vector / Graph DBs (neo4j), Azure AI Search, LangChain data loaders

Context engineering for agent memory and tool chaining

Responsible AI principles, model explainability, data privacy controls

Programming & Micro Services Architecture : Strong skills in

Python, PySpark, SQL, Fast API (Pydantic, REST APIs)

ETL / ELT workflows, data modeling, schema design, feature engineering

Containerization using Docker / Kubernetes, and CI / CD automation

Soft Skills

Ability to collaborate effectively with AI Consultants, Architects, and Business Analysts

Strong communication skills to explain data engineering concepts to non-technical stakeholders & ability to transfer industry knowledge to peers