Ai Engineering Lead (Santiago de Compostela)

Ai Engineering Lead (Santiago de Compostela)

10 oct
|
OnHires
|
Santiago de Compostela

10 oct

OnHires

Santiago de Compostela

Location: General Remote (Flexible: Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya)OverviewSeeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact.Brief of the RoleOur client is a social enterprise founded in 2006 that equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, they provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by a team of 9,000+ full-time staff, drawn from diverse backgrounds and professions.Their Kenya program, founded in 2006, operates under a local brand. Close to 500 staff at the Kakamega headquarters support 1,747 field staff and serve more than 1 million farmers. In Nairobi, around 50 staff support global functions like procurement, recruitment, government relations, and communications.Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact.Your BackgroundKnowledgeBachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or related technical field requiredStrong understanding of artificial intelligence, automation, machine learning, analytics, and emerging technologiesStrong understanding of business process improvement, operational systems, and digital transformation principlesGood understanding of enterprise systems, integrations, software engineering, and technology platformsStrong understanding of customer-centric design and technology adoption principlesStrong understanding of the organization's operating model, customer journeys, and strategic prioritiesTechnical SkillsStrong AI engineering, automation engineering, and software development capabilityDemonstrated experience building and deploying production-grade AI, automation, and intelligent workflow solutionsStrong solution design, systems-thinking, and workflow orchestration capabilityStrong API, integration,



middleware, and enterprise systems integration experienceExperience integrating AI capabilities into business processes, enterprise systems, and operational workflowsAbility to translate business challenges into practical AI and automation solutionsAbility to evaluate technical trade-offs and guide solution design decisionsStrong experimentation, analytical, and problem-solving capabilityAbility to assess emerging technologies and determine practical business applicationOtherA proven track record of personally building and deploying production-grade AI and automation solutions, combined with a builder mindset for solving real-world business problemsAbility to balance hands-on delivery with effective team leadership, coaching, and mentorship to strengthen technical capabilityStrong business and operational acumen, with the ability to navigate complex priorities and balance innovation against operational requirementsProven ability to influence stakeholders and drive the organisational adoption of new technologiesA strong ownership mindset, with clear accountability for delivering measurable business outcomes and enhancing the customer experienceDriven by a passion for leveraging technology to improve farmer impact, combined with high learning agility and a commitment to continuous improvementDrive AI and automation strategy to support organisational prioritiesPartner with business leaders to identify opportunities where AI, automation, and intelligent systems can improve customer experience, operational efficiency, decision-making, and business performanceTranslate organisational priorities into a clear pipeline of high-impact AI and automation initiativesSupport the development and execution of the organisation's AI and automation roadmapEnsure AI and automation investments remain aligned to business priorities and deliver measurable valueDesign, build and deliver intelligent business solutionsPersonally lead the full lifecycle (design, development, deployment, and scaling) of AI-enabled solutions, workflows,



and automation capabilitiesArchitect and integrate AI solutions seamlessly across existing enterprise applications, data platforms, and operational systemsBuild scalable, secure, and maintainable solutions that solve real business problems and fit specific operational needsBalance innovation and delivery speed with long-term technical sustainability, risk management, and strategic requirementsGuide technical decision-making across AI, analytics, and process improvement initiativesMaintain high engineering standards through rigorous architecture, code, and technical reviewsDrive organisational transformation through AI and automationChampion adoption of automation, AI, and intelligent ways of working across the organisationIdentify opportunities to simplify processes, reduce manual effort, improve controls, and enhance decision qualitySupport the responsible adoption of emerging AI technologies and best practicesEnsure AI and automation initiatives are operationalised successfully and achieve intended outcomesBuild a high-performing AI and automation teamMentor engineers to strengthen AI, automation, and integration capabilities through hands-on guidance, pair-building, and technical reviewsEstablish governance and operating standards to ensure consistent, high-quality executionDrive a culture of innovation, accountability, and continuous learningDeliver solutions that consistently meet business goals, timelines, and adoption targetsMonitor performance and maximise business valueMonitor the performance, adoption, and impact of AI and automation solutions across the organisationProactively identify operational, technical, ethical, and adoption risks and implement mitigation strategiesContinuously improve the effectiveness, sustainability, and value realization of deployed solutionsEnsure the AI and automation portfolio continues to support long-term growth and strategic ambitionsWhat You Can Expect from the CompanyCareer Growth and DevelopmentWe have a strong culture of constant learning, and we invest in developing our people. You'll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You'll have the opportunity to shape a growing organization and build a rewarding long-term career.Health insurance, housing, and comprehensive benefits.#J-18808-Ljbffr

📌 Ai Engineering Lead (Santiago de Compostela)
🏢 OnHires
📍 Santiago de Compostela

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