About the role
Reporting to the Head of Technology you will lead the teams that design implement and operate Sportsbets emergingAI Platform the foundational layer enabling teams across the business to rapidly build safe scalable and high-quality AI applications.
This includes capabilities such as model access agent orchestration frameworks microservices and primitives for AI workflows prompt and agent lifecycle tooling evaluation frameworks vector search guardrails and safety controls monitoring and observability and secure multi-tenant environments.
This role will shape the future of AI engineering at Sportsbet by providing the technical foundations patterns tooling and services that allow internal teams to innovate faster and with confidence.
Key responsibilities:
- Manage the reliability and scalability of the platform.
- Own the design operation and evolution of the AI Platform.
- Maintain the AI Platform roadmap and architectural direction.
- Enable teams with reusable tooling components and documentation.
- Ensure platform services meet reliability security and performance standards.
- Integrate external capabilities through strategic partner engagement.
- Lead mentor and develop high-performing engineering teams.
- Influence and align stakeholders across Technology Architecture Data and Cyber.
- Prioritise and manage the AI Platform backlog and delivery flow.
- Drive continuous improvement documentation and agile ways of working.
About you:
- Leadership experience in platform cloud or large-scale engineering environments.
- Proven track record delivering technical capability in agile high-throughput settings.
- Experience collaborating with major technology vendors and partners.
- Strong grounding in platform engineering and distributed systems.
- Experience with AI/ML/GenAI technologies (e.g. models inference RAG vector search agentic workflows).
- Deep understanding of cloud-native architectures (AWS preferred).
- Familiarity with MLOps/AgentOps concepts and model lifecycle tooling.
- Understanding of governance safety and compliance in AI workflows.
- Strong engineering fundamentals across automation reliability observability and DevOps.
Need To Work Flexibly
We know flex means different things to different people let us know how we can support you to be your best.
Ready to bring excitement to life Apply now
Required Experience:
Manager
About the role Reporting to the Head of Technology you will lead the teams that design implement and operate Sportsbets emergingAI Platform the foundational layer enabling teams across the business to rapidly build safe scalable and high-quality AI applications.This includes capabilities such as mod...
About the role
Reporting to the Head of Technology you will lead the teams that design implement and operate Sportsbets emergingAI Platform the foundational layer enabling teams across the business to rapidly build safe scalable and high-quality AI applications.
This includes capabilities such as model access agent orchestration frameworks microservices and primitives for AI workflows prompt and agent lifecycle tooling evaluation frameworks vector search guardrails and safety controls monitoring and observability and secure multi-tenant environments.
This role will shape the future of AI engineering at Sportsbet by providing the technical foundations patterns tooling and services that allow internal teams to innovate faster and with confidence.
Key responsibilities:
- Manage the reliability and scalability of the platform.
- Own the design operation and evolution of the AI Platform.
- Maintain the AI Platform roadmap and architectural direction.
- Enable teams with reusable tooling components and documentation.
- Ensure platform services meet reliability security and performance standards.
- Integrate external capabilities through strategic partner engagement.
- Lead mentor and develop high-performing engineering teams.
- Influence and align stakeholders across Technology Architecture Data and Cyber.
- Prioritise and manage the AI Platform backlog and delivery flow.
- Drive continuous improvement documentation and agile ways of working.
About you:
- Leadership experience in platform cloud or large-scale engineering environments.
- Proven track record delivering technical capability in agile high-throughput settings.
- Experience collaborating with major technology vendors and partners.
- Strong grounding in platform engineering and distributed systems.
- Experience with AI/ML/GenAI technologies (e.g. models inference RAG vector search agentic workflows).
- Deep understanding of cloud-native architectures (AWS preferred).
- Familiarity with MLOps/AgentOps concepts and model lifecycle tooling.
- Understanding of governance safety and compliance in AI workflows.
- Strong engineering fundamentals across automation reliability observability and DevOps.
Need To Work Flexibly
We know flex means different things to different people let us know how we can support you to be your best.
Ready to bring excitement to life Apply now
Required Experience:
Manager
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