AI Team Lead

Responsibilities

• Owning the team's technical strategy and roadmap for AI adoption, automation, and tooling, in partnership with business stakeholders
• Leading, hiring, coaching, and mentoring a team of AI and Software Engineers, owning their performance, development, and career growth
• Translating business priorities into a resourced, prioritised delivery plan, and reporting on progress, risk, and capacity to leadership
• Owning key architectural and design decisions for AI-driven systems the team builds or adopts, ensuring scalability, security, and maintainability
• Evaluating AI tools, models, and vendors and owning build-vs-buy and cost/risk trade-offs for AI usage across engineering
• Setting and driving adoption of engineering best practices across the team — code quality, testing, review standards, and responsible use of AI tooling
• Acting as an escalation point for technical blockers, cross-team dependencies, and delivery risk
• Partnering with other Team Leads to share standards, avoid duplicated effort, and align on approach
• Staying current on emerging AI/LLM developments and judging what's genuinely worth adopting versus what's hype
• Any other task or responsibility that may be related and/or connected to the role of AI Team Lead