Ai Engineering Lead

Location:
Global Remote (Flexible: Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya)
Overview
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.
Brief of the Role
Our client is a social enterprise founded in **** 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 ****, 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 Background
Knowledge
Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or related technical field required
Strong understanding of artificial intelligence, automation, machine learning, analytics, and emerging technologies
Strong understanding of business process improvement, operational systems, and digital transformation principles
Good understanding of enterprise systems, integrations, software engineering, and technology platforms
Strong understanding of customer-centric design and technology adoption principles
Strong understanding of the organization's operating model, customer journeys, and strategic priorities
Technical Skills
Strong AI engineering, automation engineering, and software development capability
Demonstrated experience building and deploying production-grade AI, automation, and intelligent workflow solutions
Strong solution design, systems-thinking, and workflow orchestration capability
Strong API, integration, middleware, and enterprise systems integration experience
Experience integrating AI capabilities into business processes, enterprise systems, and operational workflows
Ability to translate business challenges into practical AI and automation solutions
Ability to evaluate technical trade-offs and guide solution design decisions
Strong experimentation, analytical, and problem-solving capability
Ability to assess emerging technologies and determine practical business application
Other
A proven track record of personally building and deploying production-grade AI and automation solutions, combined with a builder mindset for solving real-world business problems
Ability to balance hands-on delivery with effective team leadership, coaching, and mentorship to strengthen technical capability
Strong business and operational acumen, with the ability to navigate complex priorities and balance innovation against operational requirements
Proven ability to influence stakeholders and drive the organisational adoption of new technologies
A strong ownership mindset, with clear accountability for delivering measurable business outcomes and enhancing the customer experience
Driven by a passion for leveraging technology to improve farmer impact, combined with high learning agility and a commitment to continuous improvement
Drive AI and automation strategy to support organisational priorities
Partner with business leaders to identify opportunities where AI, automation, and intelligent systems can improve customer experience, operational efficiency, decision-making, and business performance
Translate organisational priorities into a clear pipeline of high-impact AI and automation initiatives
Support the development and execution of the organisation's AI and automation roadmap
Ensure AI and automation investments remain aligned to business priorities and deliver measurable value
Design, build and deliver intelligent business solutions
Personally lead the full lifecycle (design, development, deployment, and scaling) of AI-enabled solutions, workflows, and automation capabilities
Architect and integrate AI solutions seamlessly across existing enterprise applications, data platforms, and operational systems
Build scalable, secure, and maintainable solutions that solve real business problems and fit specific operational needs
Balance innovation and delivery speed with long-term technical sustainability, risk management, and strategic requirements
Guide technical decision-making across AI, analytics, and process improvement initiatives
Maintain high engineering standards through rigorous architecture, code, and technical reviews
Drive organisational transformation through AI and automation
Champion adoption of automation, AI, and intelligent ways of working across the organisation
Identify opportunities to simplify processes, reduce manual effort, improve controls, and enhance decision quality
Support the responsible adoption of emerging AI technologies and best practices
Ensure AI and automation initiatives are operationalised successfully and achieve intended outcomes
Build a high-performing AI and automation team
Mentor engineers to strengthen AI, automation, and integration capabilities through hands-on guidance, pair-building, and technical reviews
Establish governance and operating standards to ensure consistent, high-quality execution
Drive a culture of innovation, accountability, and continuous learning
Deliver solutions that consistently meet business goals, timelines, and adoption targets
Monitor performance and maximise business value
Monitor the performance, adoption, and impact of AI and automation solutions across the organisation
Proactively identify operational, technical, ethical, and adoption risks and implement mitigation strategies
Continuously improve the effectiveness, sustainability, and value realization of deployed solutions
Ensure the AI and automation portfolio continues to support long-term growth and strategic ambitions
What You Can Expect from the Company
Career Growth and Development
We 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.
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