Senior Artificial Intelligence Engineer

Sr. AI Engineer

Position Summary

We are seeking a motivated Sr. AI Engineer to support the design, development, and deployment of Data & AI solutions on Microsoft Azure. This role is ideal for engineers with foundational experience in Data Engineering, AI/Generative AI, Cloud Technologies, and Software Development who are looking to grow their expertise in enterprise-scale Data & AI platforms.

The AI & Data Engineer will work closely with senior engineers, architects, data scientists, and business stakeholders to build data pipelines, AI applications, and analytics solutions while gaining hands-on experience with modern Azure Data & AI services.

Required Qualifications

Technical Skills

• Proficiency in Python and working knowledge of SQL.
• Basic understanding of data engineering concepts and data processing pipelines.
• Familiarity with PySpark or distributed data processing frameworks.
• Experience developing REST APIs, scripts, or cloud-based applications.

We are looking for a hands-on AI Solution Lead with strong expertise in Azure, Databricks, Microsoft Foundry, Generative AI, and Agentic AI to build and scale enterprise AI solutions.

• Microsoft Azure & Microsoft Foundry / Azure AI Foundry
• Azure Databricks, Agent Bricks & Genie
• Ml flow Model Registry, Evaluation & Agent Tracing
• Unity Catalog – Governance, Security & Attribute-Based Access Control
• Azure OpenAI & Azure AI Services
• RAG, LLMs, Vector Search & Hybrid Search
• AI Agents, Agent Memory, Tools & Guardrails
• Foundry Tracing & Evaluation
• Python, PySpark & SQL
• Azure AI Search / Cognitive Search
• Spark debugging & performance optimization
• CI/CD, Azure DevOps & cloud security

Key Responsibilities

• Assist in building and maintaining Data & AI platforms, applications, and services.
• Develop and support data ingestion pipelines, ETL/ELT processes, and analytics workflows.
• Implement AI and Generative AI solutions using Azure AI services, Azure OpenAI, Azure AI Foundry, Agent Bricks, and Genie Spaces.
• Support the development of RAG-based applications, AI agents, and LLM-powered solutions.
• Contribute to data lake, lakehouse, and data warehouse implementations.
• Monitor data and AI workloads and assist in troubleshooting performance and operational issues.
• Follow best practices for security, governance, compliance, and Responsible AI.
• Participate in CI/CD, DevOps, and Infrastructure as Code (IaC) activities.
• Collaborate with cross-functional teams to understand business requirements and deliver technical solutions.
• Continuously learn and adopt emerging Data & AI technologies and engineering practices.

AI & Data

• Foundational knowledge of Machine Learning, AI, and Generative AI concepts.
• Understanding of Large Language Models (LLMs), embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with AI orchestration frameworks such as LangChain, Semantic Kernel, LangGraph, or similar technologies.
• Basic understanding of data modeling, analytics, and enterprise data platforms.
• Awareness of MLOps, AI governance, and Responsible AI principles.

DevOps & Security

• Understanding of CI/CD concepts and Git-based development workflows.
• Basic knowledge of cloud security, identity management, and API security.
• Familiarity with governance and compliance considerations in enterprise environments.

Thanks & Regards,

Rishabh Yadav | Senior Recruiter - Talent Acquisition

Mobile: [phone removed]
Email: [email removed]