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.

• 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.

Nice to have

• 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

• Hybrid working style – work in our modern and comfortable office as well as work from home office.
• Neat benefits & bonus package.