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Senior AI Enablement Engineer
Restaurant Brands InternationalSenior Engineer, AI Enablement developing AI solutions that support RBI's brands. Collaborating on projects involving AI advancements and guiding junior team members.
Tech Stack
Tools & technologiesAWSDockerKubernetesPythonTerraformTypeScript
About the role
Key responsibilities & impact- Lead the end-to-end development of AI solutions that directly serve our franchisees, including complex conversational interfaces, autonomous agents, and intelligent automation systems
- Architect systems that handle real-world ambiguity, integrate with brand data, and operate reliably at the scale of Tim Hortons, Burger King, Popeyes, and Firehouse Subs
- Build and deploy production-grade autonomous agents capable of executing multi-step workflows, reasoning over brand and operational data, and acting on behalf of franchisees and corporate users
- Design and build chatbot experiences that go beyond simple Q&A to deliver genuine business value
- Partner with brand and data teams to identify automation opportunities, scope solutions, and ship working software quickly
- Translate ambiguous business problems into well-architected technical solutions and move them from prototype to production with appropriate engineering rigor
- Mentor junior engineers, contribute to engineering standards and best practices, and help shape the technical direction of the AI Enablement function.
Requirements
What you’ll need- Proven experience building production AI applications, including LLM-powered chatbots, retrieval-augmented systems, and autonomous agents
- Hands-on experience with modern AI development frameworks and agent orchestration patterns
- Strong agentic coding fluency, using AI coding assistants to accelerate development without sacrificing code quality
- Ability to evaluate model outputs, design evaluation harnesses, and iterate on prompt and system design based on real performance data
- Software Engineering Fundamentals
- Strong programming skills in Python and at least one other modern language such as TypeScript
- Experience designing and shipping production services, including API design, data modeling, and asynchronous processing
- Deep understanding of secure coding practices, including input validation, secrets management, authentication and authorization patterns
- Familiarity with handling sensitive data, including PII, payment data, and franchisee operational data
- Strong proficiency in Infrastructure as Code with Terraform, including module design, state management, and multi-environment deployments
- Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or equivalent
- Working knowledge of AWS, including IAM, networking, compute, and managed AI services
- Container and orchestration experience with Docker and Kubernetes or equivalent managed services
- Observability mindset, with experience instrumenting systems for logging, metrics, and tracing using tools such as Datadog
- Comfort working with modern data platforms, including Snowflake, and understanding of how AI systems consume and produce structured and unstructured data
- Experience integrating with enterprise systems, APIs, and third-party platforms
- Familiarity with vector databases, embeddings, and retrieval patterns
- Track record of partnering with non-technical stakeholders to scope and deliver high-impact work
- Strong written and verbal communication skills, with the ability to explain technical tradeoffs to brand, product, and executive audiences
- Experience mentoring engineers and raising the technical bar of a team
- Bias toward shipping, balanced with sound judgment about when to invest in quality, security, and scalability.
Benefits
Comp & perks- comprehensive global paid parental leave program that supports employees as they expand their families
- free telemedicine and mental wellness support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI applicationsLLM-powered chatbotsautonomous agentsPythonTypeScriptAPI designdata modelingInfrastructure as CodeTerraformCI/CD pipelines
Soft Skills
mentoringcommunicationcollaborationproblem-solvingtechnical directionevaluating model outputstranslating business problemspartnering with stakeholdersshipping softwarejudgment