Azure AI Architect(15+) with C# & python :: Moline IL :: Hybrid

1 Point System

Moline, IL

Contract

Senior

2 months ago

Job Description

About the Role

We are seeking an experienced Azure AI Architect to lead the design, implementation, and optimization of AI solutions within Microsoft Azure's ecosystem. This senior role requires deep expertise in AI/ML architectures, Azure cloud services, and enterprise AI strategy, with a strong ability to drive innovation and scalability.

Key Responsibilities

Define and execute enterprise-wide AI strategies leveraging Azure AI, Azure OpenAI Service, Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks
Develop AI governance frameworks, ensuring compliance with responsible AI principles and security best practices
Lead the development of generative AI applications, including LLMs, RAG models, AI Agents, and custom AI pipelines
Implement prompt engineering, fine-tuning, and retrieval mechanisms for improved AI performance
Design vector-based search architectures using Azure Cognitive Search and vector databases
Drive MLOps best practices, automating AI model lifecycle with Azure DevOps and GitHub Actions
Optimize cloud AI workloads, balancing performance, cost, and security
Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM)
Collaborate with data scientists, engineers, and stakeholders to design AI-driven solutions
Evaluate emerging AI technologies, integrating innovations like LangChain, Semantic Kernel, and multi-agent AI frameworks
Lead AI architectural reviews, providing mentorship and best practices guidance to teams

Requirements

9+ years of experience in AI/ML architecture and Azure cloud environments
Strong proficiency in Python, C#, or R, with expertise in Azure AI services
Hands-on experience with Azure OpenAI, Azure Bot Framework, and Cognitive Services
Deep understanding of LLMs, RAG models, and vector database implementations
Azure certifications preferred (AI-102, AZ-305, DP-100, AZ-305)
Experience with Terraform, Bicep, and ARM templates for cloud automation
Familiarity with MLOps frameworks for scalable AI deployment
Proven ability to translate business needs into AI solutions
Strong problem-solving, strategic thinking, and innovation mindset
Excellent communication skills, capable of influencing senior stakeholders