• Own complex systems end‑to‑end: design, build, test, deploy, and operate Java/Spring Boot microservices • Govern AI‑assisted code: prompt, evaluate, validate, and harden AI‑generated outputs • Engineer for resilience using patterns like circuit breakers, retries, rate limiting, and load balancing • Consistently deliver Clean Code, SOLID, and proven Design Patterns across services • Build and maintain CI/CD pipelines, IaC modules, and secure delivery workflows • Drive TDD/BDD with comprehensive test suites • Implement meaningful observability across metrics, logs, and traces • Collaborate across web and mobile channels to ensure full‑stack alignment

• Architect, build, and operate high-quality production systems • Design, build, test, deploy Java/Spring Boot microservices • Govern AI-assisted code • Apply enterprise integration patterns • Consistently deliver Clean Code, SOLID principles • Build and maintain CI/CD pipelines • Drive TDD/BDD with test suites • Implement observability for production debugging • Collaborate across web and mobile channels

• Facilitate interactive training sessions for cohorts of 20-30 graduates in bootcamp (2-day) and modular (4-week) formats • Deliver content bilingually in English and Arabic, adapting seamlessly based on participant needs • Lead function-specific breakout sessions tailored to Marketing, Supply Chain, Finance, HR, and Operations roles • Conduct hands-on exercises using real Nestlé scenarios, FMCG datasets, and regional business contexts • Facilitate capstone projects where graduates redesign workflows and present measurable improvements • Provide asynchronous support during program delivery periods via Q&A channels • Adapt curriculum to the client's specific workflows, tools, brands, and AI policies during planning phases • Create MENA-relevant examples that reflect regional market dynamics, cultural contexts, and business challenges • Develop bilingual resources, including prompt libraries, templates, and functional playbooks • Refine content iteratively based on real-time participant feedback and engagement • Train high-potential graduates to become internal AI advocates and peer trainers • Coach Champions on facilitation skills, resource creation, and community-building • Support Champions during co-delivery of training sessions • Facilitate communities of practice across MENA markets • Conduct pre/post assessments to measure knowledge gains and confidence improvements • Collect participant feedback and manager observations systematically • Document AI workflows created and time savings achieved by graduates • Contribute to impact reports with qualitative insights and success stories • Participate in evaluation workshops with client stakeholders

• Operationalize our AI Code of Responsibility and internal governance framework • Issue and embed interim AI usage guidelines (Week 1) to eliminate "Shadow AI" risks • Define clear decision rights, escalation paths, and accountability owners for AI decisions • Ensure alignment with GDPR and EU AI Act requirements, appropriately scaled for a 35-person team • Establish incident reporting pathways and simple governance structures (AI Steering Group, departmental champions) • Facilitate workshops with Creative, Comms, and Leadership to define and document explicit no-AI boundaries • Translate creative boundaries into enforceable, day-to-day guidelines • Develop implementation-ready roadmaps for 3–4 priority use cases: Shipping cost automation (Shopify integration) • Conduct an environmental impact assessment of all AI tools in use (energy, water, carbon footprint) • Design and deliver 90-minute foundation AI training workshop • Act as a trusted partner to the CEO, Nature Director (sustainability lead), and department heads