

N2Force Technologies Inc
AI Architect – Azure Cloud & Copilot (Banking Domain)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect – Azure Cloud & Copilot in the Banking Domain, offering a contract length of "unknown" and a pay rate of "unknown." Requires 15+ years of IT experience, 7+ years in Azure Cloud, and expertise in AI/ML architecture.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Minneapolis, MN
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🧠 - Skills detailed
#Monitoring #Data Security #Azure #Strategy #Data Governance #GCP (Google Cloud Platform) #Azure Databricks #AWS (Amazon Web Services) #ADF (Azure Data Factory) #Azure cloud #Scala #AI (Artificial Intelligence) #Security #Cloud #Azure Data Factory #Leadership #Compliance #PCI (Payment Card Industry) #API (Application Programming Interface) #Synapse #"ETL (Extract #Transform #Load)" #Microsoft Azure #Databricks #Azure Machine Learning #GDPR (General Data Protection Regulation) #ML (Machine Learning) #DevOps #IAM (Identity and Access Management) #Kubernetes #Microservices #Data Pipeline
Role description
Job Title: AI Architect – Azure Cloud & Copilot (Banking Domain)
Experience: 15+ Years
Job Summary
We are seeking a highly experienced AI Architect with deep expertise in Microsoft Azure Cloud, Azure OpenAI, and Microsoft Copilot technologies, along with strong experience in the Banking/Financial Services domain.
The ideal candidate will design and lead enterprise-scale AI/GenAI solutions, architect secure cloud-native AI platforms, and drive Copilot integrations across business functions within regulated financial environments.
Key Responsibilities
• Architect end-to-end AI/GenAI solutions using Azure AI services
• Design and implement solutions using:
• Azure OpenAI Service
• Azure Machine Learning
• Azure Cognitive Services
• Azure AI Search
• Azure Databricks
• Lead Microsoft Copilot integration (M365 Copilot, Copilot Studio, custom Copilot extensions)
• Build enterprise-grade RAG (Retrieval-Augmented Generation) architectures
• Design scalable and secure AI platforms aligned with banking compliance standards
• Implement AI governance, Responsible AI, and model risk management frameworks
• Architect data pipelines using:
• Azure Data Factory
• Synapse Analytics
• Event Hub / Service Bus
• Provide AI strategy and roadmap aligned with digital banking transformation
• Ensure cloud security, IAM, RBAC, encryption, and regulatory compliance (e.g., SOX, PCI-DSS, GDPR as applicable)
• Collaborate with business, data, security, and DevOps teams
• Mentor technical teams and provide architecture leadership
Required Skills & Experience
• 15+ years of IT experience with at least 5+ years in AI/ML architecture
• 7+ years hands-on experience in Azure Cloud
• Strong experience with:
• Azure OpenAI
• GPT models integration
• LLM fine-tuning
• Prompt engineering
• RAG frameworks
• Experience implementing Microsoft Copilot solutions
• Deep understanding of:
• Enterprise architecture
• Microservices & API-based integration
• Kubernetes / AKS
• Experience working in Banking / Financial Services domain
• Strong knowledge of data governance, compliance, and risk management in regulated environments
• Experience with DevOps, CI/CD pipelines in Azure
• Strong stakeholder communication skills
Preferred Qualifications
• Azure Solutions Architect Expert Certification
• Azure AI Engineer Associate Certification
• Experience with model monitoring & MLOps
• Exposure to FinTech, Digital Banking, Payments, Lending, or Risk Analytics
• Experience in multi-cloud environments (AWS/GCP – plus)
Job Title: AI Architect – Azure Cloud & Copilot (Banking Domain)
Experience: 15+ Years
Job Summary
We are seeking a highly experienced AI Architect with deep expertise in Microsoft Azure Cloud, Azure OpenAI, and Microsoft Copilot technologies, along with strong experience in the Banking/Financial Services domain.
The ideal candidate will design and lead enterprise-scale AI/GenAI solutions, architect secure cloud-native AI platforms, and drive Copilot integrations across business functions within regulated financial environments.
Key Responsibilities
• Architect end-to-end AI/GenAI solutions using Azure AI services
• Design and implement solutions using:
• Azure OpenAI Service
• Azure Machine Learning
• Azure Cognitive Services
• Azure AI Search
• Azure Databricks
• Lead Microsoft Copilot integration (M365 Copilot, Copilot Studio, custom Copilot extensions)
• Build enterprise-grade RAG (Retrieval-Augmented Generation) architectures
• Design scalable and secure AI platforms aligned with banking compliance standards
• Implement AI governance, Responsible AI, and model risk management frameworks
• Architect data pipelines using:
• Azure Data Factory
• Synapse Analytics
• Event Hub / Service Bus
• Provide AI strategy and roadmap aligned with digital banking transformation
• Ensure cloud security, IAM, RBAC, encryption, and regulatory compliance (e.g., SOX, PCI-DSS, GDPR as applicable)
• Collaborate with business, data, security, and DevOps teams
• Mentor technical teams and provide architecture leadership
Required Skills & Experience
• 15+ years of IT experience with at least 5+ years in AI/ML architecture
• 7+ years hands-on experience in Azure Cloud
• Strong experience with:
• Azure OpenAI
• GPT models integration
• LLM fine-tuning
• Prompt engineering
• RAG frameworks
• Experience implementing Microsoft Copilot solutions
• Deep understanding of:
• Enterprise architecture
• Microservices & API-based integration
• Kubernetes / AKS
• Experience working in Banking / Financial Services domain
• Strong knowledge of data governance, compliance, and risk management in regulated environments
• Experience with DevOps, CI/CD pipelines in Azure
• Strong stakeholder communication skills
Preferred Qualifications
• Azure Solutions Architect Expert Certification
• Azure AI Engineer Associate Certification
• Experience with model monitoring & MLOps
• Exposure to FinTech, Digital Banking, Payments, Lending, or Risk Analytics
• Experience in multi-cloud environments (AWS/GCP – plus)






