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AI Lead

Job in Elizabeth, Union County, New Jersey, 07201, USA
Listing for: Virtue America
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
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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