Lead Developer – AI Native Engineering

World Wide Technology is a technology solutions company whose Internal IT team drives enterprise technology infrastructure, innovation, and AI-enabled delivery. The Lead Developer will help establish AI-native engineering standards, tools, workflows, training, and reference architectures across the enterprise while leading research, enablement, proof-of-concept development, and community support.

Responsibilities:

• Own, drive and personally deliver AI training initiatives for team members across the entire IT organization
• Develop technical AI training content ranging from higher-level overviews to deep-dive technical material, including written documentation, technical demonstrations and short-form videos for on-demand access
• Create and deliver PowerPoint presentations in live sessions, from one-on-one coaching through audiences of 50 or more
• Facilitate engaging sessions and adapt content and pacing to varying levels of technical fluency
• Present status updates on training initiatives and outcomes to senior leadership, including C-suite executives
• Research, evaluate, and prototype emerging AI native engineering tools and platforms to identify high‑value opportunities for adoption
• Conduct comparative analyses and generate recommendations that improve engineering velocity, quality, and developer experience
• Partner with engineering teams to integrate approved tools into workflows and ensure smooth onboarding and operationalization
• Define, refine, and optimize AI augmented engineering workflows, delivery patterns, and automation strategies
• Identify opportunities to streamline development processes using AI driven approaches, improving consistency, and reducing manual effort
• Collaborate with cross‑functional teams to pilot and scale new patterns across the enterprise
• Develop high‑quality documentation, guidance, and reference materials that codify best practices for AI native engineering
• Create training content, step‑by‑step tutorials, and enablement assets that help teams confidently adopt new tools and standards
• Partner with internal enablement groups to publish and socialize new materials across the organization
• Monitor AI and development tooling ecosystems, track updates, and translate technical changes into concise, actionable insights
• Communicate key updates, release notes, and impact assessments through newsletters, internal briefings, or stakeholder updates
• Support organizational change efforts by identifying adoption barriers and recommending approaches to drive alignment and engagement
• Lead the design and development of proofs of concept (PoCs) that demonstrate practical applications of AI native engineering
• Build and maintain reference architectures and reusable frameworks that accelerate enterprise adoption
• Collaborate with product and engineering teams to transition PoCs into scalable, production‑ready patterns
• Host recurring open office hours to support engineers adopting new tools and workflows
• Troubleshoot issues, offer tailored guidance, and provide recommendations based on real‑world feedback
• Gather insights from teams to inform future standards, tooling strategy, and enablement priorities

Requirements:

• 7–10+ years of professional software development experience, ideally across multiple technology stacks and environments
• Demonstrated experience evaluating, adopting, or integrating AI‑related development tools, frameworks, or workflows
• Strong understanding of modern engineering practices, including DevOps, CI/CD, automated testing, and cloud‑native architectures
• Ability to research, compare, and operationalize new tools or methodologies with minimal oversight
• Excellent written documentation skills, with the ability to translate technical concepts into clear guidance for broad audiences
• Experience building training materials, tutorials, or enablement content
• Strong communication skills for interacting with senior leaders, including C‑suite executives, and cross‑functional engineering teams
• Ability to design and deliver proofs of concept, reference implementations, and technical demonstrations
• Strong problem‑solving abilities with a pattern‑driven, analytical approach to evaluating tools and engineering processes
• Self‑starter mindset with the ability to lead initiatives and collaborate within a Center of Excellence model
• Highly responsible, team-oriented individual with very strong work ethic
• Ability to make decisions and provide technical direction
• Critical thinker with the ability to breakdown complex technical requirements
• Developer experience focused, identifying repeatable patterns we can expand outside of the team