AI Engineering Lead

Responsibilities

• Develop and execute an AI and automation roadmap aligned with organisational priorities and measurable business value.
• Partner with business leaders to identify and prioritise AI, automation, and intelligent systems opportunities.
• Lead the full lifecycle design, development, deployment, integration, and scaling of AI-enabled solutions and workflows.
• Architect secure, scalable, maintainable integrations across enterprise applications, data platforms, and operational systems.
• Guide technical decisions, architecture, code reviews, technical reviews, governance, and operating standards.
• Champion organisational adoption of AI, automation, and improved ways of working.
• Mentor engineers through hands-on guidance, pair-building, coaching, and technical reviews.
• Monitor solution performance, adoption, impact, risks, sustainability, and value realization.

Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or a related technical field.
• Strong understanding of artificial intelligence, automation, machine learning, analytics, business process improvement, operational systems, digital transformation, enterprise systems, integrations, software engineering, and technology platforms.
• Strong AI engineering, automation engineering, software development, solution design, systems thinking, workflow orchestration, API integration, middleware, and enterprise systems integration skills.
• Demonstrated experience personally building and deploying production-grade AI, automation, and intelligent workflow solutions.
• Ability to integrate AI capabilities into business processes and operational systems, translate business challenges into practical solutions, and evaluate technical trade-offs.
• Ability to balance hands-on delivery with team leadership, coaching, mentorship, stakeholder influence, organisational adoption, and measurable business outcomes.
• Strong business and operational acumen, experimentation, analytical and problem-solving ability, learning agility, and commitment to continuous improvement.

Benefits

• Fixed-term one-year employment.
• Global remote work with flexibility in Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya.
• Health insurance, housing, and comprehensive benefits.
• Weekly manager check-ins, mentorship and training programs, regular performance feedback, and career reviews every six months.