Top AI Jobs in Ottawa

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

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 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.

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.

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.

The Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

As a Technical Consultant, you'll engage with enterprise clients, design AI-enhanced cloud architectures, implement solutions, and mentor teams, ensuring successful outcomes and innovation.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The Full Stack Software Engineer will develop user-facing features and back-end infrastructure for autonomous AI agents, ensuring performance and usability.

Design and build an end-to-end AI Flywheel: mine edge cases, orchestrate multi-node distributed training, automate evaluation/selection, package and deploy models, and scale continuous learning across a fleet of autonomous trucks.

The Product Manager will define and build AI-powered productivity tools, focusing on user experiences, workflows, and collaboration. Responsibilities include product strategy, cross-functional partnerships, and refining AI capabilities based on user needs.

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.