Azure AI Engineer

Role : Azure AI Engineer Location : East Brunswick, NJ (Hybrid) Type: Contract 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 fine‑tuning using JSONL datasets for generative AI/custom scenarios; manage prompt strategies, grounding, and evaluation. • Implement real‑time 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, event‑driven 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 data‑driven 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.