[Hiring] AI Engineering Lead @OnHires

Role Description

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.

Qualifications

• 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

Requirements

• 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
• 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

Responsibilities & Expectations

• 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

Benefits

• Health insurance
• Housing
• Comprehensive benefits