Duties Responsibilities

Translate business requirements into scalable and well-documented ML pipelines and AI solutions using Databricks, Azure AI, and Snowflake.

Define and drive the strategic roadmap for GenAI and agentic AI adoption across business units.

Lead architecture design for multi-agent systems using modular frameworks like LangChain and Azure AI Agent Service.

Oversee development and deployment of AI agents for tasks such as customer outreach, research, and workflow automation.

Establish governance frameworks for AI observability, access control, and guardrail enforcement using Unity Catalog and Azure Guardrails.

Mentor and guide engineering teams on best practices in GenAI, MLOps, and agentic design patterns.

Collaborate with product, data, and engineering leadership to align AI initiatives with business goals.

Evaluate emerging technologies and integrate them into the enterprise AI stack (e.g., Semantic Kernel, Foundry SDK, etc.).

Basic Qualifications

Bachelor or Master degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Master degree or higher in Computer Science, AI, or related field.





8+ years of experience in AI/ML engineering, with 3+ years in leadership roles.

Deep expertise in GenAI, agentic architectures, and enterprise AI deployment.

Experience leading cross-functional teams and managing large-scale AI programs.

Robust track record in AI governance, security, and compliance.

Languages: Python, SQL, PySpark

GenAI Agentic Tools: LangChain, LangGraph, OpenAI SDK, Gemini, Azure AI Agent Service, Semantic Kernel

Governance Observability: Unity Catalog, Azure Guardrails, OpenTelemetry, Databricks AI Gateway

Cloud Data Platforms: Azure AI, Databricks, Snowflake, GCP Vertex AI

Understanding of AI governance, including model explainability, fairness, and security (e.g., prompt injection, data leakage mitigation).

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Data Engineer - AI Engineer (Tamil Nadu)
🏢 Staples India
📍 Tamil Nadu