Azure AI Foundry

Hi

Hope you are doing well

This is Manisha working as a Sr. Technical Recruiter . I specialize in connecting skilled professionals with organizations that value innovation and growth. Currently Im hiring for an exciting opportunity that might align with your experience.

if you are interested in below role Please share your updated resume to

Role - Azure AI Engineer Foundry

Location: Newark NJ - (3 days in office)

Contract

ROLEDESCRIPTION -
NJ candidates will be given priority compared to candidates from other locations joining on day 1. We are open for other locations candidates who are willing to relocate but NJ based candidates will be given priority based on our past experience.

Microsoft Certified: Azure AI Engineer Associate or the Azure AI Apps and Agents Developer Associate will be given priority compared to other candidates. If the candidate is certified request to include the respective Microsoft Certification link in the resume (without that certificate credentials are not accepted).

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).
Model Orchestration & Integration: Build and fine-tune large language models (LLMs) and integrate them with business applications Copilot Studio and data pipelines.
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.
Experience: Typically requires a bachelors degree in computer science or a related field alongside 2-5 years of software or AI/ML engineering experience

Skills: AI and AutomationCommunication
Experience Required: 8-10

Best regards
Manisha Dabral
Sr Technical Recruiter
Siri InfoSolutions Inc.

Phone no. Ext-3139
Email: