Principal AI Software Engineering Lead / IT Architect 3

Role:
Principal AI Software Engineering Lead / IT Architect 3

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

Contract: 12 Months Contract

Position’s
Contributions to Work Group:
Seeking a Principal AI Software Engineering Lead to
drive adoption of AI-powered software engineering platforms and Agentic
development 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, GitHub 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, backend
engineering, distributed systems, and AI-assisted development workflows is
required.

Key focus areas:

·        AI Coding Platforms (Cursor, Claude Code, GitHub
Copilot, etc.)

·        Agentic Software Development &
Specification-Driven Development

·        Engineering Productivity & Developer
Experience

·        Software Architecture & Technical Leadership

·        AI Evaluation, Governance & Adoption
Strategy

·        Cloud-Native Platforms, APIs & Distributed
Systems

·        Software Quality, Security & SDLC
Modernization

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, GitHub 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, drive
AI-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 play
a 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, 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, 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 of
AI-powered development tools and modern software engineering practices.

·        Drive continuous improvement initiatives focused
on 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 engineering capabilities and
industry best practices.

·        Contribute to engineering strategy, roadmap
planning, technology selection, and long-term AI transformation initiatives
across client.

Interaction with Team

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

·        Collaborate with software development teams
across Atlas, Physical AI, Autonomy Services, and enterprise engineering
organizations to evaluate, pilot, and scale AI-assisted development
capabilities.

·        Work with Product Owners, Product Managers, and
business stakeholders to identify high-value engineering productivity
opportunities 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 define
success metrics, measure outcomes, and communicate the impact of AI-assisted
software development initiatives.

·        Collaborate with external vendors and strategic
partners, including AI platform providers, to evaluate emerging technologies
and influence product direction.

·        Lead technical workshops, architecture
discussions, proof-of-concepts, and engineering enablement activities across
multiple organizations.

·        Mentor engineers and technical leaders on
AI-native development practices, agentic workflows, and modern software
engineering techniques.

·        Present recommendations, findings, pilot
results, and strategic roadmaps to senior leadership and executive
stakeholders.

Team Structure
Individual contributor, work with different stakeholders across enterprise

Work environment: Office

Education & Experience Required:

·        Years of experience: 5+

·        Degree requirement: Masters or Bachelor’s degree
in Computer Science, Software Engineering

·        Master’s degree in Computer Science, Software
Engineering with 3 Yrs. of Exp

·        Associate’s degree with 9 years’ experience

·        Do you accept internships as job experience: No

·        Are there past or additional job titles or roles
that would provide comparable background to this role: N/A

 

Top 3 Skills

·        AI-Assisted Software Engineering & Developer
Productivity

·        Backend/Platform Engineering (Java, Python,
APIs, Cloud)

·        Technical Leadership, Architecture &
Engineering Transformation

 

Additional
Technical Skills
(Required)

·        Cursor, Claude Code, GitHub Copilot or similar
AI coding tools

·        Java/Spring Boot and Python development

·        Distributed systems, APIs, cloud-native
platforms

·        Software architecture and engineering best
practices

·        Prompt engineering and Agentic development
workflows

·        Engineering metrics and productivity measurement

(Desired)

·        Spec-driven development

·        Robotics, Physical AI, Simulation or Digital
Twin exposure

·        AWS/Azure cloud platforms

·        Developer experience platforms and DevOps

Soft Skills

·        Strong problem-solving and analytical skills

·        Ability to work effectively in agile scrum teams

·        Strong verbal and written communication skills

·        Collaboration across distributed and
cross-functional teams

·        Ability to work in ambiguous and evolving
environments

·        Ownership mindset with accountability for
delivery

·        Strong technical documentation skills

(Desired)

·        Experience mentoring junior engineers

·        Technical leadership and design review
experience

·        Stakeholder management and vendor collaboration

·        Continuous improvement mindset

·        Experience working with global teams