Lead AI Engineer

Highbrow LLC; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Elevate is seeking a Lead AI Engineer to architect and implement Agentic AI, Generative AI, and MCP across enterprise .NET/Azure platforms. You will drive AI-enabled engineering and governance, delivering scalable solutions.

In this remote role, you will integrate with Azure DevOps, GitHub, and Jira, advancing AI-SDLC practices and reusable assets for large-scale modernization programs.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering/Math or related field.
• Hands-on experience building AI agents and AI-powered enterprise solutions.

Responsibilities

• Design and orchestrate AI agents for requirements engineering and backlog generation.
• Develop architecture, code, tests, and documentation within AI-SDLC.
• Integrate with Azure DevOps, GitHub, Jira and other enterprise tools.
• Accelerate delivery, improve productivity, and establish governance for large-scale modernization.

Skills

Agentic AI

Generative AI

Prompt engineering

RAG

AI-SDLC

Requirements engineering

Cloud-native .NET

Education

Bachelor’s or Master’s degree in CS/Engineering/Math

Tools

Azure DevOps

GitHub

Jira

.NET

Azure

Job description

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, DevOps, and documentation, while integrating with Azure DevOps, GitHub, 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, DevOps, and documentation, while integrating with Azure DevOps, GitHub, 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.