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.