Description

You will own the end-to-end delivery of enterprise-grade Generative AI solutions.

This role is hybrid.

Responsibilities

• Design, build, and deploy end-to-end Generative AI solutions using Microsoft Power Platform, Copilot Studio, Azure AI Foundry, MS Purview, and MS Fabric.
• Lead delivery of custom enterprise copilots and GenAI applications, integrating structured and unstructured enterprise data.
• Architect and implement AI solutions leveraging Azure OpenAI Service and other Azure AI services.
• Drive delivery from use-case definition and solution design through to production deployment and live monitoring.
• Translate operational problems into practical, scalable GenAI architectures with measurable business impact.

Required Skills

• 10+ years of experience in software engineering, data science, or machine learning.
• Proficiency in Python and SQL development.
• Hands-on experience implementing Retrieval-Augmented Generation (RAG) and prompt engineering.
• Experience with LLM fine-tuning and agentic workflows.
• Familiarity with open-source AI frameworks like Hugging Face and CrewAI.
• Experience deploying and operating AI solutions on cloud platforms (Azure preferred).
• Knowledge of LLMOps/MLOps pipelines, including model versioning and observability.
• Experience ensuring AI solutions adhere to governance and Responsible AI principles.
• Ability to integrate AI capabilities via APIs and data connectors.

Key Skills

Education

Any Graduate