10090

Zohorecruit

Irving (TX)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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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

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 productivitytransformation, developer tooling strategy, and autonomous engineeringworkflows leveraging platforms such as Cursor, Claude Code, GitHub Copilot, andemerging AI coding agents.

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

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

Key focus areas:

Agentic Software Development &Specification-Driven Development

Engineering Productivity & DeveloperExperience

Software Architecture & Technical Leadership

AI Evaluation, Governance & AdoptionStrategy

Software Quality, Security & SDLCModernization

Why this Role?

Join client’s AI Engineering Transformation journey and help define howsoftware 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, GitHub Copilot, and emerging Agentic developmentcapabilities.

You will work closely with engineering teams across to establish AI-assisteddevelopment standards, improve developer productivity, accelerate softwaredelivery, 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 helptransform how teams design, build, test, and maintain software. You'll tacklecomplex 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 engineeringplatforms including Cursor, Claude Code, GitHub Copilot, and emerging agenticdevelopment tools.

Define and implement AI-assisted softwareengineering best practices, standards, governance, and adoption frameworks.

Partner with engineering teams to identify andexecute high-value AI pilot initiatives across Atlas, Physical AI, andenterprise software development.

Design and promote Agentic developmentworkflows, specification-driven development, and autonomous engineeringpractices.

Measure and analyze developer productivity,software quality, SDLC efficiency, and engineering outcomes using data-drivenmetrics.

Create reference architectures, implementationpatterns, and engineering guidance for AI-native software development.

Work closely with software architects,engineering managers, product teams, and platform teams to integrate AIcapabilities into the development lifecycle.

Evaluate security, compliance, and governanceconsiderations 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 technicaldebt, and enhancing developer experience.

Collaborate with vendors, strategic partners,and internal stakeholders to assess emerging AI engineering capabilities andindustry best practices.

Contribute to engineering strategy, roadmapplanning, technology selection, and long-term AI transformation initiativesacross client.

Interaction with Team

Partner closely with Engineering Directors,Engineering Managers, Principal Engineers, Architects, and Technical Leads todefine and execute AI software engineering strategy.

Collaborate with software development teamsacross Atlas, Physical AI, Autonomy Services, and enterprise engineeringorganizations to evaluate, pilot, and scale AI-assisted developmentcapabilities.

Work with Product Owners, Product Managers, andbusiness stakeholders to identify high-value engineering productivityopportunities and prioritize adoption initiatives.

Partner with DevOps, Platform Engineering,Cybersecurity, and Enterprise Architecture teams to establish governance,security, compliance, and operational standards for AI coding platforms.

Engage with engineering leadership to definesuccess metrics, measure outcomes, and communicate the impact of AI-assistedsoftware development initiatives.

Collaborate with external vendors and strategicpartners, including AI platform providers, to evaluate emerging technologiesand influence product direction.