Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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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