Senior Specialist, IT Business Intelligence II
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Key skills for this role
About the Role
Maaden seeks a Senior Specialist, IT Business Intelligence to drive AI and digital transformation. You will design and deploy enterprise-grade AI solutions using Microsoft Azure AI ecosystem, including Generative AI, LLMs, and Agentic AI frameworks.
Key Skills for This Role
Responsibilities
- Design and implement AI/ML solutions using Azure AI services for enterprise scale deployments
- Fine tune, deploy, and manage LLMs for business specific use cases including text generation, summarization, and intelligent automation
- Create and orchestrate complex AI workflows using Agentic AI frameworks and tools like Azure Functions and Logic Apps
- Build and deploy intelligent conversational AI solutions using Microsoft Bot Framework and Azure Bot Service
- Integrate AI capabilities into Power Platform to enable rapid, low code application development
- Develop and manage Retrieval Augmented Generation (RAG) pipelines integrated with enterprise data sources
- Ensure scalability, security, and performance of deployed Azure AI solutions, including containerization and orchestration using Docker and AKS
Requirements
- Bachelor's or master's degree in computer science, Artificial Intelligence, or a related quantitative field
- 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
- 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
Full Job Posting
Job Purpose
- We are seeking a highly skilled and experienced Senior Specialist, IT Business Intelligence to drive innovation and digital transformation across the organization.
- This role requires deep expertise in the Microsoft Azure AI ecosystem, with a focus on designing, developing, and deploying advanced, enterprise grade AI solutions.
- The ideal candidate will translate complex business requirements into scalable AI applications, leveraging cutting edge technologies such as Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
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).
Minimum Qualifications, Experience and Competencies
- Bachelor's or master's degree in computer science, Artificial Intelligence, or a related quantitative field.
- 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.
- 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.
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