Your Influential Mission: You Will…

• Build practical AI tools, prototypes, and applications that improve workflows, products, and productivity.

• Create reusable patterns, templates, and best practices for AI adoption across Playtech.

• Design agentic workflows that automate tasks, use APIs, and support complex processes.

• Stay current with AI trends and turn insights into demos, workshops, and recommendations.

• Partner with teams to turn ideas into real solutions and support AI adoption hands-on.

• Drive efficiency and productivity through AI across multiple business units.

• Improve solution quality, cost, and performance through better design and optimisation.

• Identify and mitigate AI risks, ensuring safe and responsible use.

• Contribute to AI standards, governance, and best practices.

• Share knowledge, mentor others, and raise the overall AI engineering bar.

Components for Success: You…

• Have a strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends.

• Bring a strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems.

• Have experience designing platform-level capabilities (APIs, SDKs, shared services) that other engineering teams consume.

• Are comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders.

• Have a practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor.

• Understand software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience.

• Bring a pragmatic, delivery-focused mindset; comfortable in a large, regulated, multi-product engineering environment.

You’ll Get Extra Points for…

• Familiarity with Google Cloud AI services (Gemini Enterprise Agent Platform, ADK)

• AI evaluation or AI security experience.

• Agentic development experience (MCP, multi-agent systems).

• RAG implementation experience.

• Cloud DevOps or Terraform experience.

• Prior experience in iGaming, fintech, or another regulated industry.

• AI governance experience or interest.

• Coding experience, especially in Python

Thrive in a culture that values…

• Ownership and accountability where you take responsibility for delivery, operations, and outcomes.

• Proactive collaboration across the business units and teams globally.

• Innovation with responsibility, encouraging improvement while maintaining strong governance and compliance.

• Versatile and exciting challenges that keep you going and growing.

• Hybrid working style – work in our modern and comfortable office as well as work from home office.

• Neat benefits & bonus package.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!
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