Description

You will design and implement scalable, secure AI architectures focused on intelligent digital assistants and agent-based solutions.

Responsibilities

• Lead AI solution architecture for digital assistants and AI agents using Microsoft Copilot Studio, Azure OpenAI, and Azure AI Search.
• Define architectural patterns for integrating enterprise data sources like SQL, APIs, and file shares to support retrieval-augmented generation (RAG).
• Develop and govern enterprise AI patterns, reference implementations, and guardrails for organizational use cases.
• Establish LLMOps practices to manage the lifecycle of models and prompts.
• Create AI governance frameworks in coordination with security, legal, and compliance teams to ensure responsible AI usage.
• Define the AI technology roadmap and identify risks within implementation plans.
• Architect solutions for computer vision, forecasting models, and personalization engines.

Required Skills

• 5+ years of professional experience in architecture or engineering roles.
• Expertise in Microsoft Copilot and Azure OpenAI.
• Hands-on experience with Azure AI Services and Azure AI Search.
• Proficiency in Python.
• Experience designing RAG-based architectures and integrating Graph Connectors.
• Knowledge of cloud platforms including GCP and AWS.
• Ability to design cloud-native, event-driven architectures.
• Experience with LLMOps and model lifecycle management.
• Background in implementing computer vision or process automation solutions.

Key Skills

Education

Any Graduate