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About the Role

This role involves leading AI software engineering initiatives, focusing on developer productivity and leveraging AI coding tools to define best practices, standards, and adoption frameworks. The lead will drive AI pilot initiatives, design agentic workflows, measure developer productivity, and integrate AI into the development lifecycle.

Responsibilities

• Identify cloud capabilities and benchmark industry adaptation.
• Assess Kubernetes fit.
• Review ICS/ACT technologies (Remote Services, Minestar).
• Challenge solutions and drive alternative architecture options.
• Partner with GIS, Security, and other teams on solution design.
• Evaluate and benchmark AI coding platforms.
• Define AI best practices, standards, governance, and adoption frameworks.
• Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise).
• Design agentic, spec-driven, and autonomous development workflows.
• Measure developer productivity, quality, SDLC efficiency, and outcomes.
• Create reference architectures, implementation patterns, and guidance for AI-native development.
• Integrate AI into development lifecycle with architects, managers, product, and platform teams.
• Assess security, compliance, and governance for AI coding tools.
• Mentor teams on AI tools and modern engineering practices.
• Drive velocity, quality, technical debt reduction, and developer experience improvements.
• Collaborate with vendors, partners, and stakeholders on emerging capabilities and best practices.
• Contribute to engineering strategy, roadmap, technology selection, and long-term AI transformation.
• Act as an individual contributor.
• Collaborate with Engineering Directors, Managers, Principal Engineers, Architects, and Technical Leads.
• Work across Atlas, Physical AI, Autonomy Services, and enterprise engineering.
• Partner with Product Owners, Product Managers, and business stakeholders.
• Partner with DevOps, Platform Engineering, Cybersecurity, and Enterprise Architecture.
• Engage with vendors and AI platform providers.
• Lead workshops, architecture discussions, PoCs, and enablement activities.
• Mentor engineers and technical leads.
• Present recommendations, findings, pilot results, and roadmaps to senior leadership.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Master’s degree + 3 years of experience.
• Bachelor’s degree + 5+ years of experience.
• Associate’s degree + 9 years of experience.
• Internships are not accepted as experience.
• Master’s degree in Computer Science or Software Engineering is preferred.
• TOGAF certification is a nice-to-have.
• Experience with Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools).
• Experience with Java/Spring Boot.
• Experience with Python.
• Experience with distributed systems.
• Experience with APIs and integration services.
• Experience with cloud-native platforms.
• Knowledge of software architecture and engineering best practices.
• Experience with prompt engineering.
• Experience with agentic development workflows.
• Experience with engineering metrics and productivity measurement.
• Experience with infrastructure and cloud.
• Experience with Docker, containers, and Kubernetes.
• Knowledge of IT security, server/storage.
• Knowledge of security standards.
• Experience with DevOps.
• Experience with specification-driven development is desired.
• Experience with Robotics, Physical AI, Simulation, or Digital Twin is desired.
• Experience with AWS or Azure is desired.
• Experience with developer experience platforms is desired.
• Strong problem-solving and analytical thinking skills.
• Experience with Agile/Scrum team collaboration.
• Strong verbal and written communication skills.
• Experience with cross-functional/distributed team collaboration.
• Tolerance for ambiguity.
• Demonstrated ownership and accountability.
• Experience with technical documentation.
• Mentoring junior engineers is desired.
• Experience with technical leadership and design reviews is desired.
• Experience with stakeholder management and vendor collaboration is desired.
• Commitment to continuous improvement is desired.
• Global team experience is desired.
• No hands-on backend development is a disqualifier.
• Limited API, integration, or distributed systems experience is a disqualifier.
• Front-end only experience is a disqualifier.
• No Agile/Scrum experience is a disqualifier.
• Inability to contribute to cloud-native service development or troubleshooting is a disqualifier.

Skills

• Cloud
• DevOps
• Java
• Python
• AI-Assisted Software Engineering
• Developer Productivity
• Backend/Platform Engineering
• Software Architecture
• Technical Leadership
• Cursor
• Claude Code
• GitHub Copilot
• Spring Boot
• Distributed systems
• APIs
• Integration services
• Cloud-native platforms
• Prompt engineering
• Agentic development workflows
• Engineering metrics
• Productivity measurement
• Infrastructure
• Docker
• Containers
• Kubernetes
• IT security
• Server/storage
• Security standards
• Specification-driven development
• Robotics
• Physical AI
• Simulation
• Digital Twin
• AWS
• Azure
• Developer experience platforms
• Problem-solving
• Analytical thinking
• Agile/Scrum
• Team collaboration
• Verbal communication
• Written communication
• Cross-functional team collaboration
• Distributed team collaboration
• Ambiguity tolerance
• Ownership
• Accountability
• Technical documentation
• Mentoring
• Technical leadership
• Design reviews
• Stakeholder management
• Vendor collaboration
• Continuous improvement
• Global team experience

Location

• Irving, TX, 75038 (Onsite)

Work Type

• Onsite
• Contract

Experience Level

• Principal
• 7 yrs AI-Assisted Software Engineering & Developer Productivity
• 7 yrs Backend/Platform Engineering
• 7 yrs Software Architecture & Technical Leadership

Education Level

• Bachelor’s Degree
• Master’s Degree