Automation Engineering Lead

OnHires

. Partner with senior leadership to identify how automation, AI, engineering, and technology can accelerate strategic priorities and farmer impact .

Posted 11/2/2026full-timeRemote • Kenya, Poland, Spain, India, Romania, Estonia, Portugal, South AfricaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI, automation, and software engineering to drive organizational strategy and business performance, while effectively managing complex enterprise system integrations and delivering production-grade technology solutions.

Highest-signal resume keywords

AI ImplementationAutomation SolutionsEnterprise Systems IntegrationSolution ArchitectureTechnical Decision-Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAutomation PlatformsDigital TransformationAPIsMiddlewareProduction-Grade SolutionsArchitecture ReviewsCode ReviewsPortfolio ManagementSystems-Thinking

Soft Skills

Influencing StakeholdersOwnership-Driven MindsetAccountabilityCoachingMentoring

Tools & Technologies

AI PlatformsIntegration StandardsThird-Party TechnologiesEnterprise SystemsAutomation Solutions

Certifications & Qualifications

Relevant Technical Certifications

Industry Keywords

Agricultural OperationsOrganizational Change ManagementCustomer ExperienceOperational EfficiencyStrategic Priorities

About the role

Key responsibilities & impact

Partner with senior leadership to identify how automation, AI, engineering, and technology can accelerate strategic priorities and farmer impact
Translate business needs into a clear engineering and automation roadmap
Evaluate emerging technologies and recommend investments that improve customer experience, operational efficiency, scalability, and financial sustainability
Act as a strategic thought partner to business leaders on opportunities, trade-offs, risks, and innovation priorities
Ensure automation, AI, enterprise systems, integrations, and software solutions solve real business problems and deliver measurable value
Guide solution architecture and engineering decisions balancing speed, quality, sustainability, and scalability
Personally contribute to the design, review, prototyping, and delivery of high-priority automation, AI, integration, and software initiatives
Conduct architecture reviews, solution reviews, and technical quality assessments
Establish and oversee integration standards across enterprise systems, AI platforms, automation solutions, middleware, APIs, and third-party technologies
Ensure business systems exchange information reliably and efficiently
Oversee successful delivery, adoption, and performance of the automation and engineering portfolio
Lead, coach, and develop a high-performing engineering team
Establish governance and performance standards (SOPs) for consistent delivery excellence, reliability, and continuous improvement
Build technical leadership and succession pipelines by mentoring AI, automation, and integration specialists
Champion adoption of automation, AI, and modern engineering practices across the organization
Identify opportunities to simplify processes, improve decision-making, reduce cost-to-serve, and enhance customer experience
Ensure automation and AI initiatives deliver measurable operational and business impact
Position the organization as a leader in practical technology application within agricultural operations
Monitor health, performance, value realization, and sustainability of engineering investments
Manage technical, operational, and delivery risks
Balance immediate delivery priorities with long-term platform, capability, and organizational needs
Ensure the engineering portfolio supports business growth, resilience, and future strategic ambitions
Stay informed on industry trends, emerging technologies, and leading engineering practices
Build partnerships across the organization and external technology ecosystems
Represent engineering and automation priorities in strategic discussions and planning forums
Elevate the organization's understanding and effective use of technology

Requirements

What you’ll need

Master's degree in a relevant technical field (Computer Science, Software Engineering, Data Science, AI, Information Systems) or a Bachelor's degree with relevant certifications
Comprehensive understanding of how AI, automation, and software engineering drive organizational strategy and business performance
Expert knowledge of enterprise systems, automation platforms, digital transformation, and organizational change management
Deep understanding of the organization's operating model, customer journeys, and long-term strategic ambitions
Demonstrated expertise building and deploying production-grade AI, automation, and software solutions
Experience with complex enterprise system integrations, including APIs, middleware, and third-party platforms
Strong solution architecture and systems-thinking
Ability to translate strategic business priorities into scalable technical roadmaps
Ability to identify practical applications for emerging technologies
Proven ability to guide technical decision-making and evaluate complex trade-offs
Ability to conduct rigorous architecture and code reviews
Robust portfolio management and prioritization capabilities
Proven track record in hands-on delivery of production-grade technology solutions
Strong commercial and operational acumen
Ability to influence senior stakeholders and drive organizational change amidst ambiguity
Ownership-driven mindset and accountability for measurable business outcomes
Current location must be provided in the application
English level must be provided in the application

Benefits

Comp & perks

Health insurance
Housing
Comprehensive benefits
Weekly check-ins with your manager
Access to mentorship and training programs
Regular feedback on your performance
Career reviews every six months
Time set aside to discuss your aspirations and career goals
Opportunity to shape a growing organization and build a rewarding long-term career