Sr. AI Enablement Engineer

Restaurant Brands International•Miami, FL

5d•Onsite

About The Position

Restaurant Brands International Inc. (RBI) is seeking a highly motivated and experienced Senior Engineer, AI Enablement to join their team. This role involves leading the design, development, and implementation of scalable AI solutions to support various AI initiatives across RBI and its brands. The position requires close collaboration with business stakeholders, product teams, data engineers, and analytics leaders to address complex business challenges. The ideal candidate will possess strong technical expertise, strategic thinking, and the ability to manage projects from conception to production deployment, while also mentoring junior team members and influencing technical direction. A key aspect of this role is staying current with AI advancements, evaluating new technologies, and translating them into practical, high-impact solutions for RBI's ecosystem. RBI operates on a 5-day in-office schedule to foster collaboration, and candidates should be comfortable working onsite 5 days a week in Miami, FL or Toronto, Ontario.

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
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

Nice To Haves

Experience in retail, restaurant, or franchise environments
Familiarity with the Anthropic API, Claude, MCP, or comparable enterprise AI platforms
Experience deploying AI solutions to non-technical end users at scale
Background in security engineering or building systems subject to enterprise security review
Experience working with Snowflake and modern cloud data platforms preferred.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes preferred.
Strong analytical, problem-solving, and systems-thinking capabilities.
Demonstrated ability to lead projects and influence technical direction across cross-functional teams.
Excellent communication and presentation skills with the ability to explain complex technical concepts to business stakeholders.
Experience mentoring junior engineers or leading technical initiatives preferred.

Responsibilities

Lead the end-to-end development of AI solutions that directly serve 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.