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 strong 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

Azure Databricks and all its capabilities

Azure Data Factory

Azure AI Foundry

Azure OpenAI

Azure Storage (ADLS/Blob)

Azure Functions

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).

Robust 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)
🏢 Anvik Technologies
📍 India