

Vertex Solutions Inc.
Azure AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure AI Engineer with a contract length of "unknown". It offers a pay rate of "unknown" and requires on-site work in Iselin, NJ or NYC. Candidates must have 3+ years of Azure AI experience, proficiency in C# and Python, and SharePoint integration skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York City Metropolitan Area
-
🧠 - Skills detailed
#Programming #Compliance #Vault #ML (Machine Learning) #Azure #DevOps #Indexing #Data Integration #AI (Artificial Intelligence) #Python #Security #Leadership #Automation #Microsoft Azure #GitHub #"ETL (Extract #Transform #Load)" #Regression #Datasets #SharePoint #Metadata #Scala #Data Enrichment #C# #Azure DevOps #Azure Machine Learning #Data Privacy
Role description
Azure AI Engineer
Contract
On site, 4 days in the office in Iselin, NJ or NYC (downtown)
Seeking an Azure AI Engineer / Developer with minimum 3+
years of hands-on experience in designing, building, and operating AI
solutions on Microsoft Azure. You will develop agentic and model driven
applications using Azure AI Foundry, Microsoft Copilot (including
Copilot Studio and the Copilot Agent Framework), and modern MLOps
practices. The role focuses on integrating AI into enterprise systems
(including SharePoint grounded RAG) with robust guardrails, security,
performance, and scalability.
Job Duties:
• Design, build, and manage AI applications on Microsoft Azure,
using Azure AI Foundry, Azure Machine Learning, Azure
OpenAI Service, Azure AI Search (Knowledge Mining), and
Cognitive Services.
• Integrate AI models into applications, services, and processes as
APIs.
• Leverage SharePoint content for RAG and MCP integration—
build pipelines that index enterprise documents, configure vector
search, and ground Copilot responses with secure SharePoint data
access.
• Implement Responsible AI guardrails—set up safety filters,
prompt moderation, content policies, and compliance checks;
maintain auditability and incident playbooks.
• Perform model fine tuning using JSONL datasets for generative
AI/custom scenarios; manage prompt strategies, grounding, and
evaluation.
• Conduct testing and QA (unit/functional, load/performance, safety
tests, prompt safety, regression suites).
• Document AI development—create runbooks, architecture
diagrams, and operational playbooks for supportability and audits.
• Stay current with AI advancements—evaluate new Azure
capabilities (model catalog updates, agent orchestration, prompt
engineering patterns).
• Ensure compliance and security—adhere to data privacy
regulations and enterprise policy; use Azure Key Vault, Managed
Identity, Private Links, RBAC, Purview, and other security
controls.
• Provide technical leadership and strategic direction for AI
initiatives; contribute to platform standards, best practices, and
reusable components.
Job Requirements:
Required
• 3+ years in an Azure AI Engineer / Developer delivering
production AI solutions.
• Expertise in Microsoft Azure and AI services: Azure AI Foundry,
Azure Machine Learning, Azure OpenAI Service, Azure AI
Search (Cognitive Search), Cognitive Services.
• Programming experience in C# (APIs, SDKs, automation scripts,
serverless functions) and Python
• SharePoint Online experience for RAG pipelines and MCP
integration—indexing, metadata enrichment, and secure access
patterns.
• Strong competence with Microsoft Copilot, Copilot Studio, and
the Copilot Agent Framework for agentic workflows and
enterprise data integration.
• Prior experience in integrating with Microsoft Graph, SharePoint,
Teams, and Power Platform; building Copilot plugins/skills
grounded in enterprise content.
Preferred
• Experience with RAG, vector indexing, and knowledge mining
using Azure AI Search; document intelligence with Form
Recognizer.
• Hands on MLOps (Azure ML pipelines/registries/endpoints),
DevOps (Azure DevOps or GitHub Actions)
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.
Azure AI Engineer
Contract
On site, 4 days in the office in Iselin, NJ or NYC (downtown)
Seeking an Azure AI Engineer / Developer with minimum 3+
years of hands-on experience in designing, building, and operating AI
solutions on Microsoft Azure. You will develop agentic and model driven
applications using Azure AI Foundry, Microsoft Copilot (including
Copilot Studio and the Copilot Agent Framework), and modern MLOps
practices. The role focuses on integrating AI into enterprise systems
(including SharePoint grounded RAG) with robust guardrails, security,
performance, and scalability.
Job Duties:
• Design, build, and manage AI applications on Microsoft Azure,
using Azure AI Foundry, Azure Machine Learning, Azure
OpenAI Service, Azure AI Search (Knowledge Mining), and
Cognitive Services.
• Integrate AI models into applications, services, and processes as
APIs.
• Leverage SharePoint content for RAG and MCP integration—
build pipelines that index enterprise documents, configure vector
search, and ground Copilot responses with secure SharePoint data
access.
• Implement Responsible AI guardrails—set up safety filters,
prompt moderation, content policies, and compliance checks;
maintain auditability and incident playbooks.
• Perform model fine tuning using JSONL datasets for generative
AI/custom scenarios; manage prompt strategies, grounding, and
evaluation.
• Conduct testing and QA (unit/functional, load/performance, safety
tests, prompt safety, regression suites).
• Document AI development—create runbooks, architecture
diagrams, and operational playbooks for supportability and audits.
• Stay current with AI advancements—evaluate new Azure
capabilities (model catalog updates, agent orchestration, prompt
engineering patterns).
• Ensure compliance and security—adhere to data privacy
regulations and enterprise policy; use Azure Key Vault, Managed
Identity, Private Links, RBAC, Purview, and other security
controls.
• Provide technical leadership and strategic direction for AI
initiatives; contribute to platform standards, best practices, and
reusable components.
Job Requirements:
Required
• 3+ years in an Azure AI Engineer / Developer delivering
production AI solutions.
• Expertise in Microsoft Azure and AI services: Azure AI Foundry,
Azure Machine Learning, Azure OpenAI Service, Azure AI
Search (Cognitive Search), Cognitive Services.
• Programming experience in C# (APIs, SDKs, automation scripts,
serverless functions) and Python
• SharePoint Online experience for RAG pipelines and MCP
integration—indexing, metadata enrichment, and secure access
patterns.
• Strong competence with Microsoft Copilot, Copilot Studio, and
the Copilot Agent Framework for agentic workflows and
enterprise data integration.
• Prior experience in integrating with Microsoft Graph, SharePoint,
Teams, and Power Platform; building Copilot plugins/skills
grounded in enterprise content.
Preferred
• Experience with RAG, vector indexing, and knowledge mining
using Azure AI Search; document intelligence with Form
Recognizer.
• Hands on MLOps (Azure ML pipelines/registries/endpoints),
DevOps (Azure DevOps or GitHub Actions)
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.






