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

·        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

·        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.

·        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.

·        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

·        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

·        Spec-driven development

·        Robotics, Physical AI, Simulation or Digital Twin exposure

·        AWS/Azure cloud platforms

·        Developer experience platforms and DevOps

·        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

·        Experience mentoring junior engineers

·        Technical leadership and design review experience

·        Stakeholder management and vendor collaboration

·        Continuous improvement mindset

·        Experience working with global teams