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URGENT ROLE - Need Immediate joiner. Role- Azure AI Architect Client- John Deere Location - Moline, IL- Onsite ROLE-

MUST BE LOCAL OR READY TO RELOCATE Rate- 80/hr on c2c- flex for a right match

6 -12 months plus

Visa- NO H1-B, rest all will work 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 , and

enterprise AI strategy , with a strong ability to drive innovation and scalability. Key Responsibilities AI Strategy & Architecture

Define and execute enterprise-wide AI strategies leveraging

Azure AI ,

Azure OpenAI Service ,

Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services Architect

scalable and secure AI solutions

using

Azure

Functions ,

Kubernetes Service (AKS) , and

Databricks Develop

AI governance frameworks , ensuring compliance with responsible AI principles and security best practices AI Development & Model Optimization

Lead the development of

generative AI applications , including

LLMs ,

RAG models ,

AI Agents

and

custom AI pipelines Implement

prompt engineering, fine-tuning , and retrieval mechanisms for improved AI performance Design

vector-based search architectures

using

Azure Cognitive Search

and

vector databases Cloud & DevOps Excellence

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

9+ 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

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 Preferred Qualifications

Master's degree

in Computer Science, AI, or a related field Experience with

multi-cloud AI strategies , predominantly on Azure Expertise in

AI security, privacy, and compliance frameworks Prior experience in

enterprise AI solutions

with large-scale deployments