Job Description

Who we are

Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.

Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.

About the Role

Bally’s Intralot is driving applied intelligence across our global gaming, entertainment, and hospitality operations. As our Enterprise AI and Automation Engineer, you will join the Enterprise AI and Automation team to help take AI from concept to production, delivering real use cases that change how the business operates.

You will work directly alongside the Enterprise Applications Architect, partnering on builds from day one. This is not a research role and it is not a greenfield start. You will onboard onto active production codebases with real users, extending and improving applications that people rely on every day. Your focus is the business-facing layer: turning real operational problems into working AI-powered solutions. We operate an AI-first development model — AI tools generate the code, and engineers review, refine, and ship it. You will need a solid software engineering background to do this well, but the day-to-day is orchestration, not typing.

You will also work closely with stakeholders across customer service, compliance, operations, and finance to understand their problems, scope solutions, and validate outcomes. The ability to talk to non-technical people, translate their needs into working software, and care about whether that software is actually usable is essential.

So, what will you be doing?

Use Case Delivery

• Own the full lifecycle of AI use cases from discovery through production deployment and iteration
• Build AI-powered applications across a range of business domains
• Implement structured and hybrid AI approaches for mission-critical use cases requiring high accuracy and auditability
• Integrate AI capabilities into existing business systems, workflows, and tools
• Build and extend workflow automations to connect AI services to business processes

Stakeholder Partnership

• Translate business requirements into technical implementations that deliver measurable value
• Collaborate with L&D and the AI Adoption team on training programmes, feature rollouts, and adoption tracking
• Present demos, progress updates, and results to both technical and non-technical audiences

Engineering Excellence

• Review and validate AI-generated code against production-quality standards and software engineering best practices
• Apply knowledge of software design patterns to guide solution architecture and ensure maintainable, well-structured outputs
• Implement proper testing, logging, error handling, and monitoring for all deliverables
• Contribute to documentation, engineering standards, and reusable solution patterns

Working with the Team

• Work under the guidance of the Enterprise Applications Architect, pairing on builds, sharing knowledge, and learning the platforms
• Identify new opportunities where AI can solve business problems or create competitive advantage
• Contribute to the use case backlog with prioritised, well-scoped proposals
• Stay current with AI/ML developments and evaluate new tools and techniques for applicability

And what are we looking for?

• Professional software engineering experience building user-facing applications
• Hands-on experience with LLMs, prompt engineering, AI tool-calling and agent frameworks (e.g., MCP, function calling), and AI application development
• Experience working directly with business stakeholders to gather requirements and deliver solutions
• Strong communication skills - you can explain technical concepts to non-technical audiences and run a demo without reading from a script
• Comfortable with AI-assisted development workflows - you use tools like Cursor, Claude Code, or Copilot as part of how you work, and you know when to trust the output and when to override it
• Demonstrated ability to ship end-to-end: from requirements to deployed, working software
• Comfortable working in ambiguous, fast-moving environments where you proactively identify what needs doing and influence the direction

Preferred Qualifications

• Experience with AI/ML frameworks and tools (LangChain, LlamaIndex, Semantic Kernel, or similar)
• Familiarity with modern frontend frameworks (React, Next.js, or equivalent) sufficient to review and guide AI-generated UI code
• Experience with RAG architectures, vector databases, or hybrid AI patterns (e.g., combining LLM classification with deterministic rule engines)
• Familiarity with workflow automation platforms and event-driven integration patterns
• Experience with GitLab CI/CD pipelines, Terraform, and containerised deployment workflows
• Knowledge of gaming, hospitality, or regulated industry operations

What You Will Get

• The opportunity to shape how AI is applied across a major gaming and entertainment company, working alongside experienced architects
• Direct line to business impact - every project you ship solves a real problem for real people
• A small, senior team where your contributions are visible and your voice matters
• Exposure to diverse business domains: customer service, compliance, operations, finance, and more
• A culture that values delivery over deck-building and pragmatism over perfection