Bally's Intralot
Gaming
EnterpriseAIandAutomationEngineer
Neural analysis suggests this role is
optimal for experienced candidates.
“Enterprise AI and Automation Engineer at Bally's Intralot. Skills: AI, Automation, Software engineering, LLMs. Own AI use case lifecycle. Build AI-powered applications”
What You'll Achieve.
Deliver real use cases; Deliver measurable value
Industry & Context.
Turning operational problems into solutions
What They're Looking For.
Must Have
Professional software engineering experience, Hands-on LLMs experience, Prompt engineering experience, AI tool-calling experience, Agent frameworks experience, AI application development experience, Experience with business stakeholders, Ability to ship end-to-end, Comfortable in ambiguous environments
Nice to Have
Experience with AI/ML frameworks, Experience with LangChain, Experience with LlamaIndex, Experience with Semantic Kernel, Familiarity with modern frontend frameworks, Experience with RAG architectures, Experience with vector databases, Experience with hybrid AI patterns, Familiarity with workflow automation platforms, Familiarity with event-driven integration patterns, Experience with GitLab CI/CD, Experience with Terraform, Experience with containerised deployment workflows, Knowledge of gaming operations, Knowledge of hospitality operations, Knowledge of regulated industry operations
What You'll Do.
Own AI use case lifecycle
Build AI-powered applications
Implement structured AI approaches
Implement hybrid AI approaches
Integrate AI capabilities
Build workflow automations
Translate business requirements
Collaborate on training programmes
Track feature rollouts
Present progress updates
Review AI-generated code
Validate AI-generated code
Apply software design patterns
Guide solution architecture
Ensure maintainable outputs
Ensure well-structured outputs
Implement error handling
Contribute to documentation
Contribute to engineering standards
Contribute to reusable solution patterns
Identify new AI opportunities
Contribute to use case backlog
How You'll Work.
Team & Collaboration
Enterprise Applications Architect; Stakeholders; L&D team; AI Adoption team; Technical audiences; Non-technical audiences
Communication Scope
Explain technical concepts; Run demos
Process & Methodology
Use case delivery
Full 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
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