Developer – AI Native Engineering

World Wide Technology is a technology solutions company that helps organizations design, build, and scale AI, digital, cybersecurity, cloud, and infrastructure solutions. The Developer will join the AI Native Engineering team to research and adopt AI-native tools, define engineering practices, deliver training, develop proofs of concept, and enable enterprise-wide adoption through documentation, reference architectures, and community support.

Responsibilities:

• 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 25 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
• 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:

• 5+ years of professional software development experience, ideally across multiple technology stacks and environments
• Proficiency with JavaScript, Node.js and frameworks such as Vue.js
• Experience with SQL and NoSQL databases (Postgres, MongoDB)
• 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
• Experience developing technical training content ranging from higher-level overviews to deep-dive technical material, including written documentation, technical demonstrations
• Demonstrated experience creating and delivering PowerPoint presentations in live sessions, from one-on-one coaching through larger audiences
• Creation of short-form videos for on-demand access is a plus