Delta System & Software, Inc.
Azure AI Architect (Only W2)
Location: Moline, IL (day 1 onsite) with In-person Interview
Position Type: Contract
Position Overview 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 ,
M365 Architectures including Copilot
and
Enterprise AI strategy , with a strong ability to drive innovation and scalability.
Responsibilities
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)
Cross-Team Leadership & Innovation
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
Required Qualifications Technical Expertise
12+ 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
M365 Copilot, M365 Copilot Studio ,
Azure OpenAI ,
Azure Bot Framework , and
Cognitive Services
Deep understanding of
LLMs, RAG models , and
vector database implementations
AI & Cloud Certifications
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
#J-18808-Ljbffr
Position Overview 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 ,
M365 Architectures including Copilot
and
Enterprise AI strategy , with a strong ability to drive innovation and scalability.
Responsibilities
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)
Cross-Team Leadership & Innovation
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
Required Qualifications Technical Expertise
12+ 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
M365 Copilot, M365 Copilot Studio ,
Azure OpenAI ,
Azure Bot Framework , and
Cognitive Services
Deep understanding of
LLMs, RAG models , and
vector database implementations
AI & Cloud Certifications
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
#J-18808-Ljbffr