Top AI Jobs in Ottawa

The Director, Government Affairs and Public Policy Lead - Canada will strategize and engage with government across Canada, focusing on key policy areas while providing insights to executives and supporting internal teams.

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

The Senior Manager of Data Loss Prevention will lead the DLP team, develop strategies, implement technologies, and ensure data protection across the company.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

The Staff Developer Relations Engineer will teach and engage developers with AI tools through demos, workshops, content creation, and community programs, while collaborating across teams to enhance projects and programs.

As a Senior Product Designer, you will lead design efforts for onboarding and engagement experiences, particularly focusing on templates and collaboration with cross-functional teams to drive user growth.

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

The role involves designing, deploying, and refining ML systems for conversational AI, focusing on large-scale LLM workflows while ensuring responsible AI practices and mentoring team members.

Lead product management for AI and automation, developing strategy and integrating with operations. Focus on customer value, team performance, and market impact.

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 Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Design, deploy, and improve ML models to prevent fraud and enhance platform security. Collaborate with teams to respond to risks and develop scalable solutions.

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.

As an AI Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

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.

Lead the development of AI evaluation systems at Dropbox, measuring quality and reliability of AI features, collaborating across teams, and defining metrics for product improvements.

As a Staff Engineer, you'll develop and enhance agentic automation features, leverage large language models, and drive AI strategy for customer success through robust integrations and systems.

The Senior Applied AI Engineer will build and integrate LLMs into Zapier's software products, enhance performance and reliability, and collaborate with cross-functional teams to optimize AI features, focusing on user experience and scalability.

The IP Counsel will advise on AI, open source software, and IP transactions, ensuring compliance and facilitating engagement with the open source community.

The Senior Software Engineer will build core services and SDKs for production-grade systems, lead projects enhancing tools, and collaborate cross-functionally.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The AI Innovation Lead will drive the adoption of AI in marketing, enhance workflows, and lead change management for automation tools.

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.