AI Solution Engineer

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.