AI Lead
Job in
Elizabeth, Union County, New Jersey, 07201, USA
Listed on 2026-11-01
Listing for:
Virtue America
Full Time
position Listed on 2026-11-01
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are seeking a Mid-Senior Level AI Lead to design, develop, and deploy enterprise AI solutions using Azure AI Search, Azure OpenAI, and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience with LLM integration, prompt engineering, AI observability, and enterprise AI security.
Key Responsibilities:
- Design, develop, and deploy Azure AI Search solutions integrated with RAG pipelines for intelligent information retrieval.
- Implement, optimize, and fine-tune Azure OpenAI GPT models for enterprise applications.
- Develop and maintain effective prompt engineering strategies to improve model accuracy and response quality.
- Monitor and evaluate AI model performance using Arize AI or similar observability tools.
- Integrate AI solutions with enterprise applications, APIs, and data sources.
- Ensure AI solutions meet security, governance, scalability, and compliance requirements.
- Collaborate with engineering, data, and business teams to deliver production-ready AI applications.
- Troubleshoot performance issues and optimize AI workflows for reliability and cost efficiency.
Required Skills:
- Strong experience with Azure AI Search and RAG architectures.
- Hands-on experience with Azure OpenAI and GPT-based applications.
- Proficiency in prompt engineering and LLM application development.
- Experience with Arize AI, Lang Smith, or similar AI observability tools.
- Knowledge of Python, REST APIs, and cloud-based AI integrations.
- Understanding of vector databases, embeddings, semantic search, and AI evaluation.
- Familiarity with enterprise AI security, governance, and responsible AI practices.
Preferred Qualifications:
- Experience deploying and maintaining production-grade generative AI solutions.
- Knowledge of Azure cloud services, CI/CD, and MLOps practices.
- Experience leading technical discussions, mentoring developers, and coordinating cross-functional teams.
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