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Software Development, Software Architect, AI Engineer (Applied​/Software)

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Zohorecruit
Full Time, Part Time position
Listed on 2026-10-08
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Software Project Mgr/ Lead, DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Principal AI Software Engineering Lead / IT Architect 3

Irving, United States | Posted on 08/03/2026

Role:

Principal AI Software Engineering

Lead / IT Architect 3

Location:
Irving, TX (Hybrid onsite for 3 days/week)

Contract:
12 Months Contract

Position’sContributions to Work Group:

Seeking a Principal AI Software Engineering
Lead todrive adoption of AI-powered software engineering platforms and Agenticdevelopment capabilities across enterprise engineering teams.

Primary focus is AI-assisted software development, engineering productivity transformation, developer tooling strategy, and autonomous engineering workflows leveraging platforms such as Cursor, Claude Code, Git Hub Copilot, and emerging AI coding agents.

This role will establish AI engineering standards, evaluation frameworks,governance, and best practices while partnering with engineering teams to accelerate software delivery, improve quality, and enhance developer productivity.

Strong experience in software architecture, cloud-native platforms, backendengineering, distributed systems, and AI-assisted development workflows is required.

Key focus areas:
  • Agentic Software Development &Specification-Driven Development
  • Engineering Productivity & Developer Experience
  • Software Architecture & Technical Leadership
  • AI Evaluation, Governance & Adoption Strategy
  • Software Quality, Security & SDLCModernization
Why this Role?

Join client’s AI Engineering Transformation journey and help define how software is built in the age of AI. In this role, you will lead the evaluation,adoption, and scaling of next-generation AI software engineering platforms,including Cursor, Claude Code, Git Hub Copilot, and emerging Agentic development capabilities.

You will work closely with engineering teams across to establish AI-assisted development standards, improve developer productivity, accelerate software delivery, and shape the future of software engineering at client.

This role offers a unique opportunity to influence engineering strategy, driveAI-native development practices, evaluate cutting-edge technologies, and help transform how teams design, build, test, and maintain software. You'll tackle complex engineering challenges, partner with senior technical leaders, and playa key role in defining Client's long-term AI software engineering vision.

Typical Day or Week in the Role

Typical Task Breakdown

  • Evaluate and benchmark AI software engineering platforms including Cursor, Claude Code, Git Hub Copilot, and emerging agenticdevelopment 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, specification-driven development, and autonomous engineering practices.
  • Measure and analyze developer productivity,software quality, SDLC efficiency, and engineering outcomes using data-driven metrics.
  • Create reference architectures, implementation patterns, and engineering guidance for AI-native software development.
  • Work closely with software architects,engineering managers, product teams, and platform teams to integrate AI capabilities into the development lifecycle.
  • Evaluate security, compliance, and governance considerations related to AI coding tools and developer workflows.
  • Mentor engineering teams on effective use ofAI-powered development tools and modern software engineering practices.
  • Drive continuous improvement initiatives focusedon accelerating delivery velocity, improving code quality, reducing technical debt, and enhancing developer experience.
  • Collaborate with vendors, strategic partners,and internal stakeholders to assess emerging AI…
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