AI Solutions Technical Engineering Manager
At FDJ United, the AI Solutions Technical Engineering Manager will lead the delivery of AI- and data-enabled products and platforms from early shaping through to measurable outcomes in production. This role operates at the intersection of engineering leadership, AI delivery, and stakeholder alignment, transforming ambiguous ideas into structured plans, unblocking teams, and ensuring solutions are operationally viable.
The manager will lead multidisciplinary engineering teams, including AI/ML, data, software, and platform specialists, to deliver AI capabilities that are trusted, adopted, and production-grade. Collaboration with senior stakeholders and Product Managers is key to defining outcomes, guiding technical direction, and ensuring delivery focuses on value rather than AI experimentation. While day-to-day coding is not required, technical credibility in decision-making and constructive challenge of designs are essential.
- Own delivery of AI workloads and AI-enabled products end-to-end: from discovery through build, launch, and iteration.
- Convert loosely defined ideas into delivery plans, milestones, and measurable outcomes.
- Lead engineering execution across multiple teams, ensuring clear ownership boundaries, interfaces, and ways of working.
- Drive pragmatic technical direction across AI systems: LLM/ML deployment patterns, model lifecycle, monitoring, and iteration.
- Ensure production readiness: security, reliability, observability, governance, and cost awareness (FinOps mindset).
- Unblock teams through active problem-solving, dependency management, and escalation when needed.
- Balance trade-offs across speed, quality, risk, and cost and communicate them clearly.
- Manage stakeholder expectations with calm, credible leadership; run steering conversations and provide transparent updates.
- Build a culture of continuous improvement and innovation, with disciplined delivery under strict timelines.
- Proven experience leading engineering delivery for data-heavy, AI-enabled, or platform products (required).
- Strong understanding of modern AI concepts: ML systems, LLMs, data dependencies, evaluation, and operational risks (required).
- Track record managing complex deliveries across multiple teams and stakeholders (required).
- Comfortable operating in federated/domain-oriented environments with shared ownership (required).
- Excellent communication: able to align senior stakeholders and guide teams through ambiguity (required).
- Solid grasp of production engineering fundamentals: cloud, reliability, security, monitoring, CI/CD (required).
- Experience delivering AI in regulated or high-stakes environments (nice-to-have).
- Familiarity with AI governance, ethics, and emerging regulation (e.g., EU AI Act) (nice-to-have).
- Exposure to LLM platforms (e.g., Bedrock / Foundry) and multi-tenant cost controls (nice-to-have).
- Consulting/client-facing delivery leadership and workshop facilitation experience (nice-to-have).
- Learning and development opportunities
- Social events and activities
- Inclusion networks
- Employee Assistance Programme
- Private medical insurance
- Long service awards
- Pension
FDJ United is one of Europe's largest gaming and betting groups, formed after French lottery operator La Française des Jeux (FDJ) acquired Kindred Group - the company behind Unibet - in 2024 and rebranded the enlarged group in 2025. Headquartered in Boulogne-Billancourt, France, it operates lottery, online sports betting, casino and poker across multiple European markets and Australia. Its portfolio includes well-known online brands such as Unibet, 32Red and Maria Casino, alongside FDJ's French lottery and retail network. The group is listed on the Euronext Paris exchange.