From Home Azure Ai Engineer Jobs in Addison, IL (NOW HIRING)

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/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.

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/no-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.