Microsoft Certified Azure AI Engineer with AI foundary exp (Onsite)
Job Location:
Newark, DE - USA
Monthly Salary:
Not provided by the employer
Posted:
16 June 2026 (30+ days ago)
Application Deadline:
13 September 2026
Vacancies:
1 Vacancy
Job Summary
Hi
Hope you are doing well
Please find the job description below and let me know your interest.
Job Title: Microsoft Certified Azure AI Engineer with AI foundary exp (Onsite)
Location: Onsite in Newark NJ
Duration: 6 Months
Job Description:
- Azure AI
- Python
- LLMs
- AI Agents
- RAG
Role Overview
- An Azure AI Foundry AI Engineer designs builds and deploys intelligent generative AI agentic workflows and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python orchestrating AI models and adhering to responsible AI standards for enterprise scalability
Key Responsibilities
- AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry (formerly Azure AI Studio).
- Testing & Evaluation: Implement performance and evaluation tooling (such as RAGAS or TruLens) to assess grounding accuracy reduce hallucinations and ensure model explainability.
- Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control observability CI/CD
Core Requirements & Skills
- Technical Skills: Proficiency in Python prompt engineering and utilizing frameworks like LangChain Semantic Kernel or crewAI.
- Cloud Experience: Deep understanding of the Microsoft Azure ecosystem including Azure OpenAI Service Azure Machine Learning and Microsoft Fabric.
- AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security privacy and fairness in model outputs.
- Python (primary language)
- ML frameworks: TensorFlow PyTorch Scikit-learn
- Data pipelines and preprocessing
- Model deployment and MLOps (e.g. MLflow Docker CI/CD)
- Machine learning deep learning and statistics
- Data modeling and feature engineering
- APIs and microservices
- Cloud platforms (Azure ML SageMaker Vertex AI)
- LLMs (GPT Llama etc.)
- RAG (Retrieval-Augmented Generation)
- Prompt engineering and vector databases
- Ability to build AI-powered applications (chatbots agents copilots)
- Skills: CommunicationMySQL
If you are interested please share your updated resume and suggest the best number & time to connect with you
Thanks & Regards
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