AI Solution Engineer

Job Description

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.

Qualifications

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.  
   

Additional Information

CENTRAL AI TEAM 

The team is Playtech’s AI Centre of Excellence, driving AI adoption across the business. Operating at the intersection of platform engineering, solution delivery, and governance, the team builds shared capabilities while enabling business units to apply AI safely and effectively. With 80+ use cases already in progress, this is a unique opportunity to work on real enterprise challenges using cutting-edge technologies. Joining now means shaping how AI scales across a global organisation and influencing solutions used by thousands of colleagues and millions of players. Backed by strong executive support, AI is a key strategic priority at Playtech, offering high visibility and long-term impact. 

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to be themselves at work.