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Lead AI Engineer

Job in New York, New York City, Richmond County, New York, USA
Listing for: Highbrow LLC
Full Time position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: New York

Lead AI Engineer (Client: Elevate) [

Location:

Remote]

Location:
Remote

Job Description:

  • AI Engineer with expertise in Agentic AI, Generative AI, Model Context Protocol (MCP),
  • AI Harnesses, and AI-first Software Development Lifecycle (AI-SDLC) for enterprise .NET and Azure solutions.
  • Hands-on experience designing and orchestrating AI agents for requirements engineering, backlog generation, architecture, code development, testing, Dev Ops, and documentation, while integrating with Azure Dev Ops, Git Hub, Jira, and other enterprise engineering platforms.
  • Strong background in RAG, prompt engineering, and cloud-native .NET architectures, with a proven ability to accelerate delivery, improve engineering productivity, and establish governance, quality, and reusable AI engineering assets for large-scale enterprise modernization programs.

Job Responsibilities:

  • AI Engineer with expertise in Agentic AI, Generative AI, Model Context Protocol (MCP),
  • AI Harnesses, and AI-first Software Development Lifecycle (AI-SDLC) for enterprise .NET and Azure solutions.
  • Hands-on experience designing and orchestrating AI agents for requirements engineering, backlog generation, architecture, code development, testing, Dev Ops, and documentation, while integrating with Azure Dev Ops, Git Hub, Jira, and other enterprise engineering platforms.
  • Strong background in RAG, prompt engineering, and cloud-native .NET architectures, with a proven ability to accelerate delivery, improve engineering productivity, and establish governance, quality, and reusable AI engineering assets for large-scale enterprise modernization programs.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
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