Senior AI &

- Data Engineer

We are seeking an experienced Senior AI &

- Data Engineer to design, build, and deliver enterprise-scale Data &
- AI solutions on Azure. This role combines expertise in Data Engineering, AI/Generative AI, Cloud Architecture, and Solution Design, supporting the full lifecycle from data ingestion and platform engineering to ML/GenAI deployment and operations.

Key Responsibilities :

- Design and implement scalable Data &
- AI platforms, applications, and services.
- Build and optimize data pipelines, ETL/ELT processes, and analytics solutions.
- Develop AI and Generative AI solutions using Azure AI services, Azure OpenAI, Azure AI Foundry, Agentbricks, Genie Spaces and modern AI frameworks.
- Implement RAG architectures, AI agents, orchestration frameworks, and LLM-powered applications.
- Design and maintain data lake, Lakehouse, and warehouse solutions.
- Apply best practices for security, governance, compliance, guardrails, monitoring, and Responsible AI.
- Implement CI/CD, DevOps, Infrastructure as Code (IaC), and operational excellence practices.
- Collaborate with business stakeholders, architects, data scientists, and engineering teams to deliver business value.
- Provide technical leadership, mentorship, and architectural guidance.

Required Qualifications :

Technical Skills :

- Expert-level Python and robust SQL skills.
- Hands-on experience with PySpark,



distributed data processing, and enterprise data engineering.
- Experience building APIs, microservices, and cloud-native applications.
- Strong experience with :

1.

Azure

Databricks and all its capabilities

2.

Azure Data

Factory

- Azure AI Foundry

4.

Azure

OpenAI

5.

Azure

Storage (ADLS/Blob)

6.

Azure

Functions

7.

Azure

DevOps

AI &

- Data :
- Experience delivering production-grade AI, ML, and Generative AI solutions.
- Knowledge of LLMs, RAG, vector databases, embeddings, AI agents, and orchestration frameworks (LangChain, Semantic Kernel, LangGraph, Ontology).
- Strong understanding of data platforms, data modeling, governance, and enterprise analytics architectures.
- Familiarity with MLOps, AI governance, Responsible AI, and AI lifecycle management.

DevOps &

- Security :
- Experience with CI/CD, Git, Azure DevOps, IaC, and DevSecOps.
- Understanding of cloud security, identity management, API security, and enterprise architecture principles.
- Knowledge of governance and compliance frameworks (GXP, SOX).

Soft Skills :

- Strong communication, problem-solving, and stakeholder management skills.
- Ability to translate business requirements into scalable technical solutions.
- Self-driven, collaborative, and capable of leading technical initiatives and influencing architectural decisions.

📌 Senior AI & Data Engineer (India)
🏢 Apidel Technologies
📍 India