AI Solution Engineer

Posted 7 Hours Ago
Be an Early Applicant
Hiring Remotely in Gibraltar
Remote or Hybrid
Mid level
Gaming
The Role
Build and deploy practical AI/LLM tools, prototypes, and agentic workflows; create reusable patterns and platform capabilities; drive AI adoption, governance, and risk mitigation across business units.
Summary Generated by Built In
Company Description

About Playtech 

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. 

As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com 

Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. 

Ready to level up your career? 

We’re hiring AI Solutions Engineers who enjoy turning ideas into practical solutions, experimenting with the latest tools, and solving real business problems. We are currently filling three roles. 
This is not about theory - it’s about building AI that works in the real world!

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. 

Skills Required

  • Strong interest in enterprise AI and continual learning
  • Hands-on experience building and deploying AI, ML, or LLM-based systems
  • Experience designing platform-level capabilities (APIs, SDKs, shared services)
  • Practical understanding of modern AI tooling: LLM APIs, vector stores, RAG, evals, agent frameworks, developer assistants (e.g., Cursor)
  • Understanding of software architecture and version control (Git)
  • Ability to work across teams, explain trade-offs, mentor others, and partner with stakeholders
  • Delivery-focused mindset in a large, regulated, multi-product engineering environment
  • 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
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The Company
HQ: London
3,108 Employees
Year Founded: 1999

What We Do

Founded in 1999 and premium listed on the Main Market of the London Stock Exchange, Playtech is a technology leader in the gambling industry with over 7300 employees in 19 countries Playtech is the gambling industry’s leading software and services supplier and partners with many of the world’s leading regulated online, retail and mobile operators, land-based casino groups, government sponsored entities such as lotteries, and new entrants opening operations in newly-regulated markets. Its business intelligence-driven gambling software offering includes casino, live casino, bingo, poker and sports betting. We are the pioneers of Omni-channel gambling which, through Playtech ONE, offers operators and their customers, a seamless, anytime, anywhere experience across any product, any channel (online, mobile, retail) and any device using a single account and single wallet. It provides marketing expertise, sophisticated CRM solutions and other services for operators seeking a full turnkey solution. The company has won numerous awards including the prestigious Gaming Intelligence Game of the Year award 2018 for its Age of the Gods games that includes slots, table games and live casino. Alongside our own cutting-edge gaming studios and content we license some of the world's most popular brands from Hollywood studios including Warner Bros. Consumer Products on behalf of DC Entertainment, Paramount, Fox, NBC Universal, MGM and many more. Playtech Financials operates both on a B2C and B2B basis. Our B2C focused offering is an established and growing online CFDs broker, operating the brand markets.com. Our B2B offering includes the division's proprietary trading platform, CRM and back-office systems, as well as its liquidity technology platform which provides retail brokers with multi-asset execution, prime brokerage services, liquidity and complementary risk management tools. If you are an ambitious, creative thinker and would like to work for us we want to hear from you!

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