
Cloud Architect
YASH Technologies, Chicago, IL, United States
Job Title:
Azure AI Lead Location:
Chicago, IL Type:
Full-Time Direct Hire W2
Job Description:
We are seeking an accomplished
Azure AI Lead
with deep expertise across the Microsoft ecosystem
Azure AI Foundry, Azure AI Services, Azure OpenAI, Dynamics 365, Azure infrastructure, IaC , and
low code/no code platforms
such as
Power Platform
and
Copilot Studio . This role provides
technical leadership, architectural oversight, and governance direction
to drive secure, scalable, enterprise grade AI solutions.
Required Skills & Qualifications: AI Architecture & Solution Leadership Lead end to end architecture of AI solutions using
Azure AI Foundry, Azure AI Services, Cognitive Services, Azure OpenAI , and Azure ML. Oversee delivery of AI enabled solutions using
Power Apps, Power Automate, Copilot Studio, Power Pages , and Dataverse. Azure Infrastructure & IaC Leadership Lead the design of cloudnative AI infrastructures using
AKS, Azure Functions, App Services, APIM, Event Grid, Azure SQL, Storage , and VNETs. Ensure architectural excellence around
scalability, performance, identity, and cost optimization Microsoft Ecosystem, Dynamics 365 & LCNC Integration Lead integration of AI capabilities across
Dynamics 365, Power Platform , and
Microsoft 365 . Architect low code/no code driven AI experiences using
Power Apps, Power Automate, Power Pages, Copilot Studio . AI Engineering, Data & Integration Leadership Lead implementation of retrieval based AI systems using
Azure AI Search, embeddings, vector indexes , and multi source grounding. Establish
reusable AI assets
prompts, templates, connectors, pipelines—for enterprise reuse. AI Governance & Responsible AI Ownership Define and enforce
AI governance frameworks , standards, and compliance controls for GenAI and Azure AI workloads Lead or support the
AI Center of Excellence (CoE)
to promote governance, reuse, and adoption of standardized AI patterns. Required Qualifications 12+ years
of experience in cloud, AI, or solution architecture roles. Expertise in
Azure AI Foundry, Azure AI Services, Azure OpenAI, Cognitive Services , and vector-based retrieval. Strong hands-on experience with
Dynamics 365, Dataverse, Power Platform Low Code, No Code tools . Programming experience with
REST APIs, Graph API, JSON, Python, C#, or TypeScript Microsoft certifications:
AI 102, AZ 305, DP 100, PL 600, MB 600 .
Azure AI Lead Location:
Chicago, IL Type:
Full-Time Direct Hire W2
Job Description:
We are seeking an accomplished
Azure AI Lead
with deep expertise across the Microsoft ecosystem
Azure AI Foundry, Azure AI Services, Azure OpenAI, Dynamics 365, Azure infrastructure, IaC , and
low code/no code platforms
such as
Power Platform
and
Copilot Studio . This role provides
technical leadership, architectural oversight, and governance direction
to drive secure, scalable, enterprise grade AI solutions.
Required Skills & Qualifications: AI Architecture & Solution Leadership Lead end to end architecture of AI solutions using
Azure AI Foundry, Azure AI Services, Cognitive Services, Azure OpenAI , and Azure ML. Oversee delivery of AI enabled solutions using
Power Apps, Power Automate, Copilot Studio, Power Pages , and Dataverse. Azure Infrastructure & IaC Leadership Lead the design of cloudnative AI infrastructures using
AKS, Azure Functions, App Services, APIM, Event Grid, Azure SQL, Storage , and VNETs. Ensure architectural excellence around
scalability, performance, identity, and cost optimization Microsoft Ecosystem, Dynamics 365 & LCNC Integration Lead integration of AI capabilities across
Dynamics 365, Power Platform , and
Microsoft 365 . Architect low code/no code driven AI experiences using
Power Apps, Power Automate, Power Pages, Copilot Studio . AI Engineering, Data & Integration Leadership Lead implementation of retrieval based AI systems using
Azure AI Search, embeddings, vector indexes , and multi source grounding. Establish
reusable AI assets
prompts, templates, connectors, pipelines—for enterprise reuse. AI Governance & Responsible AI Ownership Define and enforce
AI governance frameworks , standards, and compliance controls for GenAI and Azure AI workloads Lead or support the
AI Center of Excellence (CoE)
to promote governance, reuse, and adoption of standardized AI patterns. Required Qualifications 12+ years
of experience in cloud, AI, or solution architecture roles. Expertise in
Azure AI Foundry, Azure AI Services, Azure OpenAI, Cognitive Services , and vector-based retrieval. Strong hands-on experience with
Dynamics 365, Dataverse, Power Platform Low Code, No Code tools . Programming experience with
REST APIs, Graph API, JSON, Python, C#, or TypeScript Microsoft certifications:
AI 102, AZ 305, DP 100, PL 600, MB 600 .