Azure AI Engineer

Role : Azure AI Engineer

Location : Remote ( USA)

Only on W2

JD :

• 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 finetuning using JSONL datasets for generative AI/custom scenarios; manage prompt strategies, grounding, and evaluation.
• Implement realtime analytics with Azure Stream Analytics, Event Hub, and Azure Functions for streaming ingestion, transformation, and inference.
• Monitor and optimize AI models for quality, latency, cost, drift, and fairness using Azure ML metrics, Application Insights, and custom telemetry; support A/B tests and safe rollback.
• 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.

Essential Requirements (Qualifications)

Required

• 3+ years in an Azure AI Engineer / Developer delivering production AI solutions.
• Graduate with 10+ years in Software engineering industry and competent in cloud native microservices development, eventdriven patterns with SharePoint/Teams development experience.
• Expertise in Microsoft Azure and AI services: Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, Azure AI Search (Cognitive Search), Cognitive Services.
• Proficiency in AI/ML and datadriven analytics focused on model deployment, optimization, monitoring, and reliability.
• Programming experience in C# (APIs, SDKs, automation scripts, serverless functions).
• 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.