Senior Specialist, IT Business Intelligence II

Job Purpose

Senior Specialist, IT Business Intelligence

Microsoft Azure Ai Ecosystem

Key Responsibilities

• AI Solution Design and Implementation:
• Design and implement AI/ML solutions using Azure AI services (e.g., Azure AI Foundry) for enterprise-scale deployments.
• Generative AI and LLM Development:
• Fine-tune, deploy, and manage LLMs (e.g., GPT-4o, GPT-3.5) for business-specific use cases, including text generation, summarization, and intelligent automation.
• Agentic AI and Workflow Orchestration:
• Create and orchestrate complex AI workflows using Agentic AI frameworks (e.g., Azure AI Foundry, Autogen, CrewAI, LangGraph, Semantic Kernel) and tools like Azure Functions and Logic Apps for autonomous task execution and decision-making.
• Conversational AI and Integration:
• Build and deploy intelligent conversational AI solutions using the Microsoft Bot Framework and Azure Bot Service, ensuring seamless integration with platforms like Microsoft Teams and enterprise systems.
• Low-Code/No-Code Integration:
• Integrate AI capabilities into the Power Platform (Power Apps, Power Automate, Copilot Studio) to enable rapid, low-code application development and embed AI into business workflows.
• Data and Pipeline Management:
• Develop and manage Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources (e.g., SharePoint, Oracle) and ensure high-quality data modeling, cleaning, and fine-tuning for optimal AI model performance.
• Performance and Security:
• Ensure the scalability, security, and performance of all deployed Azure AI solutions, including containerization and orchestration using technologies like Docker and Azure Kubernetes Service (AKS).

Qualifications

• Bachelor's or master's degree in computer science, Artificial Intelligence, or a related quantitative field.

Experience

• 4 7 years of experience in AI/ML development, specifically with enterprise-grade solutions
• Hands on experience with
• Microsoft AI Ecosystem, Programming & Frameworks, Generative AI & LLMs, AI Orchestration, Data & Integration
• .

Skills

• Excellent communication, presentation, and stakeholder management skills.
• Strong problem-solving and analytical thinking.
• Ability to lead projects and mentor junior developers
• Resilience and a proactive approach to project challenges.