AI Team Lead

This is a fully remote position, open to applicants in Malta.

📋 Description

• Lead the design, implementation, and integration of AI-driven solutions throughout the organization, including RPA, process automation, LLM-based tools, and integrations.

• Manage, recruit, guide, and support a team of AI and Software Engineers.

• Develop and oversee the technical strategy and roadmap for AI adoption, automation, and tooling in collaboration with business stakeholders.

• Convert business objectives into a well-resourced and prioritized delivery plan.

• Communicate progress, risks, and capacity to leadership.

• Make architectural and design decisions for AI-driven systems, ensuring they are scalable, secure, and maintainable.

• Assess AI tools, models, and vendors, including LLM providers and RPA platforms.

• Manage build-vs-buy decisions and evaluate cost/risk trade-offs for AI utilization across engineering.

• Establish and promote engineering best practices for code quality, testing, review standards, and responsible use of AI tools.

• Serve as an escalation point for technical challenges, inter-team dependencies, and delivery risks.

• Collaborate with other Team Leads to share standards, minimize duplicated efforts, and align on methodologies.

• Remain updated on emerging developments in AI/LLM and evaluate valuable adoption opportunities against hype.

• Undertake additional tasks or responsibilities associated with the AI Team Lead position.

⛳️ Requirements

• Demonstrated experience in leading or managing engineering teams, including recruitment, coaching, and performance management.

• 5+ years of experience in AI, machine learning, or automation, with a minimum of 2 years in a leadership or team lead role.

• Experience in directing or overseeing AI/LLM-based projects or automation programs.

• Ability to work comfortably with senior stakeholders and leadership, translating technical and AI concepts into actionable terms for non-technical audiences.

• Experience in assessing vendors, tools, or making build-vs-buy decisions based on cost, capability, and risk.

• Familiarity with contemporary software engineering practices, including version control, code review, testing, and CI/CD.

• Strong written and verbal communication skills in English.

• Exceptional time management and prioritization abilities, capable of balancing multiple team priorities simultaneously.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.

🏝️ Benefits

• A thriving employee environment where individuals can flourish.

• Opportunities to engage with AI-powered solutions, RPA, process automation, LLM-based tools, and integrations.

• Leadership, coaching, mentoring, performance, development, and career advancement opportunities.