AI Solution Engineer
Playtech is seeking AI Solution Engineers to join its central AI team. This role focuses on turning ideas into practical, real-world AI applications that enhance workflows, products, and productivity across the organisation. The position involves building AI tools, designing agentic workflows, and establishing best practices for AI adoption within a large, regulated, multi-product environment.
Engineers in this role will partner with various business units to deliver hands-on solutions while ensuring the safe and responsible use of AI technology. The role requires a pragmatic, delivery-focused mindset and the ability to contribute to AI standards and governance. It offers the opportunity to work on enterprise-level challenges with high visibility and strategic impact.
- 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.
- Strong interest in AI, especially enterprise AI solutions, and genuine enthusiasm to learn and keep pace with the latest developments and trends. (required)
- Strong engineering background, with hands-on experience building and deploying AI, ML, or LLM-based systems. (required)
- Experience designing platform-level capabilities such as APIs, SDKs, and shared services that other engineering teams consume. (required)
- Comfortable working across teams, explaining trade-offs, mentoring others, and partnering with various stakeholders. (required)
- Practical understanding of modern AI tooling including LLM APIs, vector stores, RAG, evals, agent frameworks, and developer assistants such as Cursor. (required)
- Understanding of software architecture and version control (Git), whether from a development background or equivalent hands-on AI experience. (required)
- Pragmatic, delivery-focused mindset, comfortable in a large, regulated, multi-product engineering environment. (required)
- Familiarity with Google Cloud AI services such as Gemini Enterprise Agent Platform or ADK. (nice-to-have)
- AI evaluation or AI security experience. (nice-to-have)
- Agentic development experience including MCP or multi-agent systems. (nice-to-have)
- RAG implementation experience. (nice-to-have)
- Cloud DevOps or Terraform experience. (nice-to-have)
- Prior experience in iGaming, fintech, or another regulated industry. (nice-to-have)
- AI governance experience or interest. (nice-to-have)
- Coding experience, especially in Python. (nice-to-have)
- Hybrid working style allowing for a mix of office and home-based work.
- Competitive benefits and bonus package.
Playtech plc is one of the world's largest gambling technology companies, providing software, platforms and content to online and land-based operators. Founded in 1999 and registered in the Isle of Man, it supplies casino, live casino, sportsbook, bingo and poker products, along with its IMS player-management platform. The company also runs B2C operations, most notably the Snaitech business in Italy. Listed on the London Stock Exchange, Playtech employs thousands of people across offices worldwide.
