Alberto Moreno
Customer Success Engineer @Futuria
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WORK HISTORY
Customer Success Engineer @Futuria
London, GB
supporting the design, deployment, and optimisation of AI-powered agentic systems, ensuring seamless adoption and measurable business impact through technical expertise and stakeholder enablement.• Architecting multi-agent AI teams using prompt engineering to transform business objectives into production-ready intelligent workflows that automate complex decision-making processes.• Collaborating with developers, data scientists, and cross-functional teams to build AI products and tools tailored to client-specific requirements across different industries.• Identifying automation opportunities within client processes, conducting assessments to pinpoint high-impact areas for AI integration while ensuring compliance with regulatory frameworks.• Delivering AI literacy training and change management programs to educate teams on capabilities, limitations, and best practices to drive adoption and maximising ROI from AI investments.• Managing end-to-end project delivery from requirements gathering through deployment, acting as trusted advisor and technical bridge between clients and engineering teams.• Establishing governance frameworks and KPIs to measure AI system performance, iterating on designs based on real-world feedback and business outcomes.• Providing ongoing technical support and strategic guidance to clients, ensuring sustained value realisation and continuous improvement of AI solutions.
EDUCATION
Universidad Autónoma de Occidente
BA, Marketing
University of Wales, Cardiff
MBA, Master in Business Administration
ABOUT ALBERTO MORENO
Agile Delivery Manager, PRINCE2 Practitioner and Certified Scrum Master with proven experience delivering digital projects across enterprises and startups in multiple industries. I build high-performing Agile teams with strong collaborative cultures and cross-functional trust. Specialist in AI enablement with expertise in multi-agent system design, prompt engineering, and intelligent workflow automation, bridging technical capability with business needs through strategic implementation and stakeholder education. I believe in achieving success through empowered teams, open dialogue, and a commitment to exploring innovative approaches.• AI & Intelligent Automation: Multi-agent system design, advanced prompt engineering, agentic orchestration, AI literacy training and change management for cross-functional teams.• Digital Delivery: End-to-end project delivery across full SDLC in Agile (Scrum, Kanban) and Waterfall environments with DevOps CI/CD approach.• Technical Acumen: Strong understanding of SaaS architectures, integration methods, security considerations, and workflow automation (Jira, Azure).• Leadership & Collaboration: Team performance optimisation, stakeholder management, cross-functional collaboration in remote environments.• Communication: Translating technical requirements for non-technical audiences, facilitating Agile best practices.• Strategic Delivery: Confident leading complex initiatives, scope definition within budget and timelines, risk forecasting, roadmap adaptation, high delivery standards.• Analytical & Problem-Solving: Highly analytical approach, comprehensive documentation and KPI tracking, process improvement through critical thinking.PROFESSIONAL ACHIEVEMENTS Designed and delivered a multi-agent AI system that fully digitalised decision-making workflows, transforming how engineering teams prioritise work with a data-driven strategic focus. Educated cross-functional teams on AI capabilities and limitations through targeted training programmes, achieving high adoption rates and shifting organisational mindset toward intelligent automationDelivering a full SaaS implementation for a global Bank, digitalising their customer onboarding processes to drive efficiency.Delivering a new digital ecosystem to integrate multiple vendors and their platforms into a combined stream of services within the Sport industry to transform their e-commerce capabilities. Planning and executing the implementation of a new social prediction methodology to analyse unfiltered social data to analyse cultural trends.
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