Top AI Jobs in Ottawa

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The Enterprise Account Executive will develop relationships with key decision-makers at Fortune-class enterprises, drive sales growth, and deliver solutions for voice call management to enhance customer experience.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

The role involves leading the vision and execution of Zapier’s AI Capabilities team, overseeing the development of AI platform infrastructure, collaborating cross-functionally, and translating AI capabilities into user-facing components.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Lead the creation and operation of Coveo's Technical Success organization, ensuring technical customer outcomes and supporting enterprise AI adoption at scale through various technical teams.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The Director of AI will define the AI strategy, manage R&D efforts, and drive organizational adoption of AI in game development and operations. Responsibilities include setting priorities, leading cross-functional initiatives, and establishing metrics for success.

The Staff Applied AI Scientist develops AI and machine learning systems for cybersecurity, managing the full lifecycle of language models and ensuring production-grade performance.

Lead design and development of the Solace Agent Mesh and related backend systems. Build scalable APIs, optimize performance, write automated tests and CI/CD pipelines, diagnose defects, collaborate cross-functionally, and produce technical documentation.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.