- Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture

- Reporting to the Sr Director, Global Revenue Strategy, Analytics & Operations, this role sits at the intersection of business strategy and applied AI, building end-to-end AI-powered solutions, workflow automations, and intelligent data systems across OpenTable

- This role will work cross-functionally with strategy, sales, and operations teams to understand how the business actually operates, identify friction points, and build production-ready AI applications, such as agents, RAG pipelines, and automated action triggers, that drive revenue and operational efficiency

- Rather than simply executing technical specs, this role is expected to proactively identify where AI can create impact, drawing on a deep understanding of the business alongside robust technical execution
- The Applied AI Engineer, Business Solutions combines business acumen with software and data engineering skills to solve high-impact problems through AI

- This position requires excellent communication, strong analytical ability, and a resourceful problem-solver comfortable taking ownership of solutions from concept through deployment

- Business-first problem discovery: Partner with strategy, sales, and operations stakeholders to understand how their workflows function, and proactively identify opportunities where AI-driven solutions can create impact

- AI & automation development: Build,



test, and deploy custom AI applications — including LLM integrations, retrieval-augmented generation (RAG), agentic workflows, and automated system triggers — that optimize daily operations

- System integration & data architecture: Connect AI models and microservices with internal databases (Snowflake), APIs, and third-party tools to automate manual business processes

- Process optimization: Identify recurring manual tasks and operational bottlenecks across revenue teams, and design automations that reduce friction and accelerate decision-making

- Testing & quality control: Implement evaluation frameworks and monitoring to ensure AI tools produce reliable, accurate, and secure outputs aligned with company data policies

- Continuous learning: Stay current on AI frameworks, APIs, and automation technologies, evaluating new tools to enhance the team’s capabilities

- Stakeholder communication: Clearly articulate technical concepts, workflow logic, and project outcomes to non-technical business partners and team leaders

Benefits

- Generous parental leave
- Generous paid vacation + time off for your birthday

- Paid volunteer time




- Enriched learning and development opportunities - leadership development & access to thousands of on-demand e-learnings

- Work from (almost) anywhere - wherever you do your best work

- Mental health and well-being - company-paid therapy sessions through SpringHealth, company-paid subscription to HeadSpace, and company-wide weeks off a year so the whole team can recharge- Familiarity with Git, API design, data orchestration tools (e.g., Airflow or similar), and basic software deployment practices

- Hands-on experience with modern AI APIs and frameworks (OpenAI/Anthropic APIs, LangChain, LlamaIndex, vector databases, or agentic automation workflows)

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related quantitative field

- Ability to learn a business domain deeply, ask the right questions, and independently identify where AI or automation can create meaningful impact

- Excellent written and verbal communication skills, with a track record of working effectively across technical and non-technical teams

- Proactive, curious, and adaptable — willing to learn new technologies and take ownership of projects end-to-end

- 5+ years in software engineering, data engineering, or applied AI roles, with a track record of building tools or automations that solve real business problems

- Strong proficiency in Python (for building tools, API integrations, and data processing) and SQL (Snowflake or other relational/cloud data warehouses)

📌 AI Applied Engineer (Business Solutions) (Toronto)
🏢 OpenTable
📍 Toronto