Principal AI Engineering Lead & Architect

Zohorecruit; Irving (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Zohorecruit is seeking a Principal AI Software Engineering Lead / IT Architect 3 in Irving, TX, hybrid with 3 days on site. The role focuses on driving adoption of AI-powered software engineering platforms and agentic development capabilities across enterprise teams.

You will establish AI engineering standards, governance, and best practices, accelerating delivery and improving quality. Ideal candidates will have strong experience in software architecture, cloud-native platforms, backend

Qualifications

• 5+ years of experience in AI software engineering leadership.
• Experience driving AI-powered software engineering platforms adoption.
• Strong background in cloud-native architectures and distributed systems.

Responsibilities

• Evaluate and benchmark AI software engineering platforms including Cursor, Claude Code, GitHub Copilot, and emerging agentic development tools.
• Define and implement AI-assisted software engineering best practices, standards, governance, and adoption frameworks.
• Partner with engineering teams to identify and execute high-value AI pilot initiatives across Atlas, Physical AI, and enterprise software development.
• Design and promote Agentic development workflows and autonomous engineering practices.
• Measure developer productivity, software quality, and SDLC efficiency using data-driven metrics.

Skills

AI-Assisted Software Engineering

Technical Leadership

Education

Masters or Bachelor’s degree in Computer Science/Software Engineering

Associate’s degree with 9 years’ experience

Tools

AWS/Azure cloud platforms

Java/Spring Boot

Python development

DevOps tools

Job description

Zohorecruit is seeking a Principal AI Software Engineering Lead / IT Architect 3 in Irving, TX, hybrid with 3 days on site. The role focuses on driving adoption of AI-powered software engineering platforms and agentic development capabilities across enterprise teams.

You will establish AI engineering standards, governance, and best practices, accelerating delivery and improving quality. Ideal candidates will have strong experience in software architecture, cloud-native platforms, backend