Overview
Remote
On Site
$60 - $80
Contract - W2
No Travel Required
Skills
AZURE
AI Architect
Azure open AI
M365 Copilot
LLMs
Python
Azure Machine Learning
Terraform
MLOps
Job Details
Job Title: Azure AI Architect
Location: Remote / Onsite (Flexible)
Duration: 6 18 Months (Contract / Full-time)
Experience Level: 12+ Years
Position Overview:
We are seeking an experienced Azure AI Architect to lead the design, implementation, and optimization of AI solutions within the Microsoft Azure ecosystem. The ideal candidate will have deep expertise in AI/ML architectures, Azure AI services, and M365 Copilot architecture, with the ability to define enterprise-wide AI strategies and drive innovation at scale.
Key Responsibilities:
AI Strategy & Architecture
- Define and implement enterprise AI strategies leveraging Azure AI, Azure OpenAI Service, Azure Copilot Studio, Azure AI Foundry, Azure Machine Learning, and Cognitive Services.
- Architect scalable, secure, and compliant AI solutions using Azure Functions, AKS (Kubernetes Service), and Azure Databricks.
- Develop AI governance frameworks ensuring Responsible AI principles and data compliance.
AI Development & Model Optimization
- Lead the development of generative AI applications including LLMs, RAG models, AI Agents, and custom AI pipelines.
- Implement prompt engineering, fine-tuning, and retrieval-augmented generation mechanisms.
- Design vector-based search architectures using Azure Cognitive Search and vector databases.
Cloud & DevOps Excellence
- Drive MLOps best practices using Azure DevOps and GitHub Actions for model lifecycle automation.
- Optimize cloud AI workloads balancing performance, cost, and security.
- Implement Infrastructure as Code (IaC) with Terraform, Bicep, and ARM templates.
Cross-Team Leadership & Innovation
- Collaborate with data scientists, ML engineers, and enterprise stakeholders to deliver AI-driven solutions.
- Evaluate and integrate emerging AI technologies such as LangChain, Semantic Kernel, and multi-agent frameworks.
- Conduct AI architectural reviews, provide technical mentorship, and establish best practices across teams.
Required Qualifications:
Technical Expertise
- 12+ years in AI/ML architecture and Azure cloud environments.
- Strong programming experience in Python, C#, or R.
- Hands-on expertise with Azure AI services, Azure OpenAI, Azure Bot Framework, Cognitive Services, and M365 Copilot.
- Deep understanding of LLMs, RAG models, vector databases, and AI integration frameworks.
Certifications
- Preferred Azure Certifications: AI-102, AZ-305, DP-100, AZ-400.
- Proficiency with Terraform, Bicep, and ARM templates for automation.
- Experience implementing MLOps frameworks for scalable AI deployment.
Leadership & Business Acumen
- Proven ability to translate business goals into AI strategies.
- Strong strategic thinking, problem-solving, and innovation mindset.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Master s degree in Computer Science, Artificial Intelligence, or related field.
- Experience with multi-cloud AI strategies (Azure, AWS, Google Cloud Platform).
- Knowledge of AI security, privacy, and compliance frameworks.
- Prior experience in large-scale enterprise AI implementations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.