Azure AI lead

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.

1. 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 .

1. 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.

1. 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.

1. 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 .