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Azure Generative AI Developer

TechHuman

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Lead Generative AI Developer

Citi

New York, New York • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Software Engineer, Developer Platforms and Generative AI

The New York Times Company

New York, New York • Today

Full-time

USD 110,000.00 - 130,000.00 per year

Generative AI Engineer

Judge Group, Inc.

Buffalo, New York • Today

Contract

USD 65.00 - 75.00 per hour

Junior Generative AI Application Developer

Citi

Irving, Texas • Today

Full-time

Compensation information provided in the description

Generative AI Engineer

TATA Consultancy Services Limited

Irving, Texas • 3d ago

Easy Apply

Full-time

100,000 - 140,000

Azure AI Document Intelligence Engineer

URSI Technologies Inc.

Hybrid in Irving, Texas • 6d ago

Easy Apply

Contract

70+

JAVA Microservices Developer with Generative AI

Nityo Infotech Corporation

Austin, Texas • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior AI/ML Engineer Generative AI

Rayomind Software Solutions LLC, DBA, Hire'in Solutions

Mason, Ohio • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI/ML Solution Architect – Generative AI & Agentic AI

Apexon

Remote • 6d ago

Easy Apply

Full-time, Third Party

0 - 0

Generative AI Consultant

Prodware Solutions

Dallas, Texas • 6d ago

Easy Apply

Contract

Generative AI Engineer

Droisys

Dallas, Texas • 28d ago

Easy Apply

Contract

52 - 58

Azure AI Apps Architect

Marquam Group

Dallas, Texas • Today

Full-time

AI/ML Engineer Generative AI, Agentic AI & AWS

Apexon

Hybrid in Indianapolis, Indiana • 5d ago

Easy Apply

Full-time

Depends on Experience

Machine Learning Engineer - Generative AI

Qualcomm Technologies

San Diego, California • Today

Full-time

USD 104,000.00 - 156,000.00 per year

Senior Generative AI Engineer

Apex Systems

Charlotte, North Carolina • Today

Easy Apply

Full-time

$60 - $65 per hour

Python developer with Java and AI

Key2Source INC

Charlotte, North Carolina • 7d ago

Easy Apply

Contract

Depends on Experience

Generative AI Scientist - (Model Risk & Validation)

Cotiviti

Remote • Today

Full-time

USD 110,000.00 - 130,000.00 per year

AI Architect Generative AI, LLMs & AWS

Apexon

Hybrid in West Palm Beach, Florida • 10d ago

Easy Apply

Full-time

Depends on Experience

Sr Generative AI Scientist II - (Model Risk & Validation)

Cotiviti

Remote • Today

Full-time

USD 145,000.00 - 170,000.00 per year

Generative AI/LLM Engineer

Public Storage, Inc.

Frisco, Texas • Today

Full-time

Associate Consultant, Generative AI

Sia

New York, New York • Today

Full-time

USD 80,000.00 - 110,000.00 per year

Applied ML and Generative AI Lead - Vice President

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Associate Consultant, Generative AI

Sia

San Francisco, California • Today

Full-time

USD 84,000.00 - 122,000.00 per year

Associate Consultant, Generative AI

Sia

New York, New York • Today

Full-time

USD 80,000.00 - 110,000.00 per year

Generative AI Engineer

Apex Systems

Newark, Delaware • Today

Easy Apply

Full-time

$60 - $65 per hour

Sr. Web Application Developer / AI Engineer

System One

Hybrid in Indianapolis, Indiana • 9d ago

Easy Apply

Contract

$57.65

Senior Generative AI Engineer

MCI

No location provided • Today

Full-time

Generative AI & Machine Learning Engineer

Morgan Stanley

New York, New York • Today

Full-time

USD 155,000.00 - 215,000.00 per year

Enterprise Generative AI Platform Engineer

Amgen Inc

Remote • Today

Full-time

USD 129,654.75 - 175,415.25 per year

Job Details

Skills

Azure
.Net framework

Summary

We are seeking an Azure Generative AI Developer to design, develop, and deploy AI-powered applications leveraging Microsoft Azure''s AI ecosystem. This role will focus on building secure, scalable generative AI solutions that integrate with enterprise systems using Azure OpenAI, Azure AI services, and modern cloud-native architectures. The ideal candidate combines strong software engineering expertise with hands-on experience delivering production-ready GenAI solutions, including Retrieval-Augmented Generation (RAG), AI orchestration, and MLOps.

Responsibilities

Design, develop, and deploy enterprise-grade generative AI solutions using Microsoft Azure.
Build AI-powered applications utilizing Azure OpenAI, Azure AI Services, and Azure Machine Learning.
Develop Retrieval-Augmented Generation (RAG) solutions using Azure Cognitive Search and vector search technologies.
Implement prompt engineering strategies, grounding techniques, embeddings, and vector indexing to improve AI response quality.
Develop secure APIs and cloud-native microservices using Python or C#.
Create AI orchestration workflows utilizing Azure Functions, Logic Apps, Service Bus, and Event Grid.
Integrate AI solutions with enterprise applications, APIs, databases, and business workflows.
Implement secure authentication and authorization using Azure AD, Managed Identities, and RBAC.
Deploy, monitor, and maintain AI models through Azure ML endpoints and Azure API Management.
Build and maintain CI/CD pipelines supporting AI model deployment and lifecycle management.
Monitor model performance, cost, drift, and reliability while implementing responsible AI and safe deployment practices.
Collaborate with architects, product owners, and business stakeholders to translate business use cases into AI solutions.
Create technical documentation, including prompt libraries, architecture diagrams, deployment processes, and AI solution documentation.

Must-Haves

5+ years of professional software development experience.
Hands-on experience with Azure OpenAI Service and Microsoft Azure AI services.
Adept development ability with C# and Python.
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Experience with vector search technologies, including Azure Cognitive Search or similar vector databases.
Experience developing solutions using Azure Functions, Azure API Management (APIM), Service Bus, and Event Grid.
Understanding of MLOps practices, model deployment, monitoring, and lifecycle management.
Experience implementing Azure security best practices, including Azure AD, Managed Identities, and RBAC.

Nice-to-Haves

Experience designing AI copilots, conversational AI, chatbots, or agent-based solutions.
Experience with Azure Machine Learning, including model fine-tuning, AutoML, or custom model training.
Experience with AI orchestration frameworks such as LangChain or Microsoft Semantic Kernel.
Experience working with structured and unstructured datasets for AI applications.
Experience monitoring AI solutions using Application Insights and Log Analytics.
Microsoft Azure certifications such as AI-102 (Azure AI Engineer Associate) or AZ-204 (Azure Developer Associate).

TechHuman is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), age, national origin, citizenship status, disability, genetic information, marital status, military status, protected veteran status, or any other status protected under applicable federal, state, or local law.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10524239
Position Id: 1930
Posted 30+ days ago

Fitment

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12-15 Years Experience Hands on Person We are looking for a highly skilled Azure AI Engineer/Architect with strong DevOps and MLOps expertise to design, develop, deploy, and operate production-grade AI and Machine Learning solutions on Microsoft Azure.The role will involve building solutions using technologies such as Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure DevOps, GitHub Actions, Docker, Kubernetes/AKS, Terraform/Bicep, Azure Monitor, Application Insights,

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Hiring! AI Specialist (Azure AI Search / RAG / GraphRAG) - Remote

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Location: Pleasanton, CA (Remote) Duration: Long-Term Start Date: September 15, 2026 Employment Type: Long Term Contract Rate: TBD Exclusive: HCLTech Exclusive Job Summary We are seeking an experienced AI Specialist with 5 7 years of hands-on experience in building and optimizing AI-powered applications on Microsoft Azure. The ideal candidate should have strong expertise in Azure AI Search, Azure Functions, Azure DevOps, Node.js, and Cosmos DB/SQL, along with practical experien

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Job Details

Skills

Azure
.Net framework

Summary

Design, develop, and deploy enterprise-grade generative AI solutions using Microsoft Azure.
Build AI-powered applications utilizing Azure OpenAI, Azure AI Services, and Azure Machine Learning.
Develop Retrieval-Augmented Generation (RAG) solutions using Azure Cognitive Search and vector search technologies.
Implement prompt engineering strategies, grounding techniques, embeddings, and vector indexing to improve AI response quality.
Develop secure APIs and cloud-native microservices using Python or C#.
Create AI orchestration workflows utilizing Azure Functions, Logic Apps, Service Bus, and Event Grid.
Integrate AI solutions with enterprise applications, APIs, databases, and business workflows.
Implement secure authentication and authorization using Azure AD, Managed Identities, and RBAC.
Deploy, monitor, and maintain AI models through Azure ML endpoints and Azure API Management.
Build and maintain CI/CD pipelines supporting AI model deployment and lifecycle management.
Monitor model performance, cost, drift, and reliability while implementing responsible AI and safe deployment practices.
Collaborate with architects, product owners, and business stakeholders to translate business use cases into AI solutions.
Create technical documentation, including prompt libraries, architecture diagrams, deployment processes, and AI solution documentation.

Must-Haves

5+ years of professional software development experience.
Hands-on experience with Azure OpenAI Service and Microsoft Azure AI services.
Adept development ability with C# and Python.
Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Experience with vector search technologies, including Azure Cognitive Search or similar vector databases.
Experience developing solutions using Azure Functions, Azure API Management (APIM), Service Bus, and Event Grid.
Understanding of MLOps practices, model deployment, monitoring, and lifecycle management.
Experience implementing Azure security best practices, including Azure AD, Managed Identities, and RBAC.

Nice-to-Haves

Experience designing AI copilots, conversational AI, chatbots, or agent-based solutions.
Experience with Azure Machine Learning, including model fine-tuning, AutoML, or custom model training.
Experience with AI orchestration frameworks such as LangChain or Microsoft Semantic Kernel.
Experience working with structured and unstructured datasets for AI applications.
Experience monitoring AI solutions using Application Insights and Log Analytics.
Microsoft Azure certifications such as AI-102 (Azure AI Engineer Associate) or AZ-204 (Azure Developer Associate).

Dice Id: 10524239
Position Id: 1930
Posted 30+ days ago

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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