Azure AI Lead — RAG & GPT Solutions Architect

Machine Learning Technologies, LLC

Jersey City (NJ)

Presencial

USD 150.000 - 210.000

Tempo integral

Há 2 dias
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Resumo da vaga

Machine Learning Technologies, LLC is seeking an experienced AI Lead in New Jersey to design, build, and deploy enterprise AI solutions using Azure AI Search, Azure OpenAI, and RAG architectures. You will lead prompt engineering efforts, integrate GPT models, and monitor performance with Arize AI, ensuring governance and security standards across solutions.

The role requires collaboration with cross-functional teams to deliver AI-driven business outcomes and scalable, secure implementations in

Qualificações

  • Hands-on experience with Azure OpenAI and GPT models.
  • Proven ability to design and deploy enterprise AI applications.
  • Strong knowledge of evaluation, monitoring, and performance optimization for AI models.
  • Familiarity with governance, security, and compliance in AI deployments.

Responsabilidades

  • Design and implement scalable RAG-based AI solutions.
  • Develop and optimize Azure OpenAI GPT-based applications.
  • Build and maintain prompt engineering strategies.
  • Monitor and evaluate AI model performance using Arize AI.
  • Ensure AI solutions meet enterprise security and governance standards.
  • Collaborate with cross-functional teams to deliver AI-driven business solutions.

Conhecimentos

Azure AI Search
Azure OpenAI
RAG pipelines
Generative AI
Prompt Engineering
LLM integration
AI observability
AI security and governance
Enterprise integration
AI evaluation and performance

Ferramentas

Arize AI

Descrição da vaga

Machine Learning Technologies, LLC is seeking an experienced AI Lead in New Jersey to design, build, and deploy enterprise AI solutions using Azure AI Search, Azure OpenAI, and RAG architectures. You will lead prompt engineering efforts, integrate GPT models, and monitor performance with Arize AI, ensuring governance and security standards across solutions.

The role requires collaboration with cross-functional teams to deliver AI-driven business outcomes and scalable, secure implementations in

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