Azure AI Engineer

Company: itecksoft INC.

Location: Remote (Remote)

Salary: $111,000 - $128,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-27

About this role

\*Its the requirement for GC & US Citizens only! Any other Visa or EAD - Please regrain from applying.

JOB DESCRIPTION

Job Title: Azure AI Engineer

Job Summary: We are 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

Id...

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