Azure AI lead
3B Staffing LLC, Chicago, IL, United States
Azure AI Lead
6-12 month
Client- John deere
Visa no H1-B
rate- $85hr C2C
Moline, IL Onsite- non local will work
Position Overview
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
o-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.
Key Responsibilities
1. 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.
Guide design of Generative AI capabilities including
LLM orchestration, RAG patterns, embeddings, vector search , and intelligent automation.
Oversee delivery of AI-enabled solutions using
Power Apps, Power Automate, Copilot Studio, Power Pages , and Dataverse.
Provide leadership across
solution blueprints, HLD/LLD creation, API design, integration frameworks , and architectural reviews.
Conduct technical discovery, solution validation, and ensure delivery alignment across teams.
2. Azure Infrastructure & IaC Leadership
Lead the design of cloud-native AI infrastructures using
AKS, Azure Functions, App Services, APIM, Event Grid, Azure SQL, Storage , and VNETs.
Direct IaC implementation with
Terraform, Bicep, ARM , and enforce standards across teams.
Ensure architectural excellence around
scalability, performance, identity, and cost optimization .
3. Microsoft Ecosystem, Dynamics 365 & LCNC Integration
Lead integration of AI capabilities across
Dynamics 365, Power Platform , and
Microsoft 365 .
Architect low-code
o-code-driven AI experiences using
Power Apps, Power Automate, Power Pages, Copilot Studio .
Oversee enterprise-grade integration layers using
Graph API, Dataverse API, APIM , and REST microservices.
Drive Copilot-enabled workflows across business teams to accelerate adoption and business value.
4. AI Engineering, Data & Integration Leadership
Lead implementation of retrieval-based AI systems using
Azure AI Search, embeddings, vector indexes , and multi-source grounding.
Oversee data integration across Dataverse, SQL, SharePoint, Blob Storage, and external systems.
Establish
reusable AI assets -prompts, templates, connectors, pipelines-for enterprise reuse.
Ensure telemetry, monitoring dashboards, performance tuning, and model lifecycle practices are in place.
5. AI Governance & Responsible AI Ownership
The Azure AI Lead will own and drive the organization's
AI governance and responsible AI
strategy.
AI Governance Responsibilities
Define and enforce
AI governance frameworks , standards, and compliance controls for GenAI and Azure AI workloads.
Establish AI-related
data governance
practices-data sourcing, lineage, retention, sensitivity, and access.
Ensure solutions adhere to
Microsoft Responsible AI principles -fairness, transparency, reliability, security, and accountability.
Assess and mitigate risks including
hallucinations, data leakage, bias, and misuse .
Lead architectural governance reviews, security assessments, and compliance checkpoints.
Define and enforce guardrails for:
prompt engineering & security
grounding & retrieval
inference controls
logging, monitoring & auditability
Partner with
InfoSec, Compliance, Risk, and Legal
to align AI solutions with regulatory and enterprise standards.
Develop governance artifacts including
AI playbooks, best practices, model evaluation criteria, and deployment standards .
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 .
Deep knowledge of
Azure infrastructure
and
IaC
(Terraform, Bicep, ARM).
Strong solution design experience with multi-system enterprise architectures.
Programming experience with
REST APIs, Graph API, JSON, Python, C#, or TypeScript .
Strong analytical skills and proven ability to lead cross-functional technical decisions.
Preferred Qualifications
Microsoft certifications:
AI-102, AZ-305, DP-100, PL-600, MB-600 .
Experience with
LangChain, Semantic Kernel , or LLM orchestration patterns.
Background in
AI governance, risk management , or regulated industry AI solutions.
Experience leading or contributing to
AI CoEs or enterprise governance bodies .
6-12 month
Client- John deere
Visa no H1-B
rate- $85hr C2C
Moline, IL Onsite- non local will work
Position Overview
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
o-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.
Key Responsibilities
1. 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.
Guide design of Generative AI capabilities including
LLM orchestration, RAG patterns, embeddings, vector search , and intelligent automation.
Oversee delivery of AI-enabled solutions using
Power Apps, Power Automate, Copilot Studio, Power Pages , and Dataverse.
Provide leadership across
solution blueprints, HLD/LLD creation, API design, integration frameworks , and architectural reviews.
Conduct technical discovery, solution validation, and ensure delivery alignment across teams.
2. Azure Infrastructure & IaC Leadership
Lead the design of cloud-native AI infrastructures using
AKS, Azure Functions, App Services, APIM, Event Grid, Azure SQL, Storage , and VNETs.
Direct IaC implementation with
Terraform, Bicep, ARM , and enforce standards across teams.
Ensure architectural excellence around
scalability, performance, identity, and cost optimization .
3. Microsoft Ecosystem, Dynamics 365 & LCNC Integration
Lead integration of AI capabilities across
Dynamics 365, Power Platform , and
Microsoft 365 .
Architect low-code
o-code-driven AI experiences using
Power Apps, Power Automate, Power Pages, Copilot Studio .
Oversee enterprise-grade integration layers using
Graph API, Dataverse API, APIM , and REST microservices.
Drive Copilot-enabled workflows across business teams to accelerate adoption and business value.
4. AI Engineering, Data & Integration Leadership
Lead implementation of retrieval-based AI systems using
Azure AI Search, embeddings, vector indexes , and multi-source grounding.
Oversee data integration across Dataverse, SQL, SharePoint, Blob Storage, and external systems.
Establish
reusable AI assets -prompts, templates, connectors, pipelines-for enterprise reuse.
Ensure telemetry, monitoring dashboards, performance tuning, and model lifecycle practices are in place.
5. AI Governance & Responsible AI Ownership
The Azure AI Lead will own and drive the organization's
AI governance and responsible AI
strategy.
AI Governance Responsibilities
Define and enforce
AI governance frameworks , standards, and compliance controls for GenAI and Azure AI workloads.
Establish AI-related
data governance
practices-data sourcing, lineage, retention, sensitivity, and access.
Ensure solutions adhere to
Microsoft Responsible AI principles -fairness, transparency, reliability, security, and accountability.
Assess and mitigate risks including
hallucinations, data leakage, bias, and misuse .
Lead architectural governance reviews, security assessments, and compliance checkpoints.
Define and enforce guardrails for:
prompt engineering & security
grounding & retrieval
inference controls
logging, monitoring & auditability
Partner with
InfoSec, Compliance, Risk, and Legal
to align AI solutions with regulatory and enterprise standards.
Develop governance artifacts including
AI playbooks, best practices, model evaluation criteria, and deployment standards .
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 .
Deep knowledge of
Azure infrastructure
and
IaC
(Terraform, Bicep, ARM).
Strong solution design experience with multi-system enterprise architectures.
Programming experience with
REST APIs, Graph API, JSON, Python, C#, or TypeScript .
Strong analytical skills and proven ability to lead cross-functional technical decisions.
Preferred Qualifications
Microsoft certifications:
AI-102, AZ-305, DP-100, PL-600, MB-600 .
Experience with
LangChain, Semantic Kernel , or LLM orchestration patterns.
Background in
AI governance, risk management , or regulated industry AI solutions.
Experience leading or contributing to
AI CoEs or enterprise governance bodies .