Senior Agentic AI Engineer – Azure Foundry & RAG

Global Technical Talent, an Inc. 5000 Company

Glendale (AZ)

Hybrid

USD 70.000 - 92.000

Vollzeit

vor 33 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Medical, Vision, and Dental Insurance
401k Retirement Plan

Zusammenfassung

Global Technical Talent, an Inc. 5000 Company, seeks a hands-on Senior Agentic AI Engineer in Glendale, AZ to design, build, and operate production-grade Agentic AI, Decision Intelligence, and Retrieval-Augmented Generation solutions on Microsoft Azure for a major organization's DSCS division.

The role supports evolving DSCS business requirements by developing scalable, secure, and explainable enterprise AI capabilities. Hybrid work: 3 days onsite per week.

Qualifikationen

  • 8 years of relevant software engineering experience.
  • 3 years of hands-on experience developing Generative AI and LLM-based applications.
  • Experience with Agentic AI and enterprise AI deployments.
  • Strong knowledge of Azure cloud services and observability.

Aufgaben

  • Design and build production-grade AI agents and multi-agent systems in Azure.
  • Architect scalable Generative AI solutions and RAG architectures.
  • Develop NL2SQL capabilities and secure data access.
  • Mentor engineers on Agentic AI and enterprise best practices.

Kenntnisse

Python
Azure AI Foundry
LLMOps
Kubernetes
REST APIs
Problem solving
CI/CD

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Azure OpenAI
Azure SQL or Cosmos DB

Jobbeschreibung

Global Technical Talent, an Inc. 5000 Company, seeks a hands-on Senior Agentic AI Engineer in Glendale, AZ to design, build, and operate production-grade Agentic AI, Decision Intelligence, and Retrieval-Augmented Generation solutions on Microsoft Azure for a major organization's DSCS division.

The role supports evolving DSCS business requirements by developing scalable, secure, and explainable enterprise AI capabilities. Hybrid work: 3 days onsite per week.

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