Sr. AI Enablement Engineer

Responsibilities

• 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

• 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
• DevOps and Infrastructure
• 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
• Data and Integration
• Comfort working with modern data platforms, including Snowflake, and understandin

Additional Information

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world. Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands - TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities. RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc. We are seeking a highly motivated and experienced Senior Engineer, AI Enablement to join our team. In this role, you will lead the design, development, and implementation of scalable AI solutions that support a broad array of AI initiatives across RBI and its brands. You will partner closely with business stakeholders, product teams, data engineers, and analytics leaders to solve complex business challenges. This role requires strong technical expertise, strategic thinking, and the ability to drive projects from concept through production deployment while mentoring junior team members and influencing technical direction. You will be expected to stay at the forefront of AI advancements, continuously evaluating emerging technologies and translating new AI capabilities into practical, high-impact solutions that enhance and expand RBI's ecosystem. RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week out of our office in Miami, FL or Toronto, Ontario .

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