AI Team Lead
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Job Description
AI Team Lead leading engineers and delivering automation, RPA, and LLM solutions. Driving AI strategy and adoption across Immense Group’s iGaming business.
Responsibilities:
- Drive the design, delivery, and adoption of AI-powered solutions across the business, including RPA, process automation, LLM-based tooling, and integrations
- Lead, hire, coach, and mentor a team of AI and Software Engineers
- Own the team's technical strategy and roadmap for AI adoption, automation, and tooling in partnership with business stakeholders
- Translate business priorities into a resourced and prioritised delivery plan
- Report progress, risk, and capacity to leadership
- Own architectural and design decisions for AI-driven systems, ensuring scalability, security, and maintainability
- Evaluate AI tools, models, and vendors, including LLM providers and RPA platforms
- Own build-vs-buy and cost/risk trade-offs for AI usage across engineering
- Set and drive engineering best practices for code quality, testing, review standards, and responsible AI tooling use
- Act as an escalation point for technical blockers, cross-team dependencies, and delivery risk
- Partner with other Team Leads to share standards, avoid duplicated effort, and align on approach
- Stay current on emerging AI/LLM developments and assess worthwhile adoption versus hype
- Perform other tasks or responsibilities related to the AI Team Lead role
Requirements:
- Proven experience leading or managing a team of engineers, including hiring, coaching, and performance management
- 5+ years of experience in AI, machine learning, or automation, including at least 2 years in a leadership or team lead capacity
- Experience directing or overseeing AI/LLM-based initiatives or automation programmes
- Comfortable working with senior stakeholders and leadership, translating technical and AI concepts into terms non-technical audiences can act on
- Experience evaluating vendors, tools, or build-vs-buy decisions against cost, capability, and risk
- Working knowledge of modern software engineering practices, including version control, code review, testing, and CI/CD
- Excellent written and verbal communication skills in English
- Excellent time management and prioritisation skills, with the ability to balance multiple team priorities at once
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field
Benefits:
- Employee environment where people thrive
- Opportunities to work on AI-powered solutions, RPA, process automation, LLM-based tooling, and integrations
- Leadership, coaching, mentoring, performance, development, and career growth opportunities
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