Configure and manage cloud-based AI service integrations (e.g. OpenAI, Anthropic, Google) for appropriate use cases.
Deploy and operate self-hosted open-source models (e.g. Llama, Mistral, Qwen, Phi families).
Design lightweight orchestration layers that connect AI services to internal systems.
Define and enforce security, access control, and data governance standards for all AI systems.
Implement monitoring and observability across all AI integrations.
Maintain an evaluation framework for benchmarking open-source models.
Own the AI cost model across the group and enforce budget guardrails.
Build a lean, high-calibre automation engineering team and establish engineering standards.

7+ years experience in software engineering or infrastructure roles, with at least 3 years focused on AI/ML systems in a production environment.
Prior experience in a technical leadership or principal engineer capacity is required.
Nice to Have: Experience in iGaming, fintech, or another regulated, data-intensive industry.
Familiarity with compliance automation use cases: AML monitoring, responsible gambling tooling, regulatory reporting.
Experience working across a group or holding company structure spanning multiple products and jurisdictions.
Contributions to open-source AI projects or published technical writing on AI systems design.

Head of Automation Engineering

Key skills