Senior AI Enablement Engineer

Role Overview

• 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

• 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.

Tech Stack

• AWS
• Docker
• Kubernetes
• Python
• Terraform
• TypeScript

Benefits

• comprehensive global paid parental leave program that supports employees as they expand their families
• free telemedicine and mental wellness support