Top AI Jobs in Ottawa

The Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

As a Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

The North America Region Counsel will advise on complex infrastructure contracts, manage legal issues across project lifecycles, and enhance risk management and operational processes.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

The Principal Product Safety Strategist leads the development of safety frameworks, ensuring product integrity and compliance while managing safety risks in evolving technologies, particularly AI, and guiding cross-functional teams in safety initiatives.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

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.

Manage and optimize digital customer success programs throughout the customer lifecycle, focusing on onboarding, activation, and adoption. Lead campaign strategy and execution, use analytics for performance improvement, and collaborate cross-functionally to enhance customer outcomes.

Evaluate the quality of interactions with AI coding agents like OpenAI Codex and Claude Code, focusing on engineering judgments and feedback on their responses.

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 Blue Planet AI Product Manager leads AI integration in service provider networks, analyzing customer needs, managing product backlogs, and ensuring timely delivery of AI capabilities.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

Evaluate the quality of interactions with AI coding agents, assessing outputs and providing feedback on engineering judgment, reasoning, and usefulness.

The role involves defining and managing AI and ML platform capabilities, collaborating with multiple teams to build AI-driven experiences for users, establishing metrics, and ensuring safe execution of AI functionalities.

Drive sales of AI/HPC data center hardware to enterprise and cloud customers, leveraging existing networks and expertise to close deals and advise on solutions.

Join the AI Agents backend team to design, build, and operate scalable APIs and systems that orchestrate conversational AI agents. Break down projects, collaborate with product/design/analytics, support production availability and monitoring, participate in on-call rotations, and contribute to hiring and team growth.

The role involves leveraging legal expertise and AI in contract management, collaborating cross-functionally to enhance AI-driven workflows, and conducting evaluations to ensure high quality outputs.

The AI Native Engineer will embed AI into growth marketing strategies, develop AI tools for performance marketing, CRM, and landing pages, and optimize processes for the Growth team.

The Customer Success Manager engages with enterprise customers, ensuring retention, adoption, and technical value of cybersecurity solutions through proactive management and technical guidance.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As Senior Director of AI Engineering, you'll lead AI and Machine Learning teams, drive product alignment, and execute data science strategy to enhance SurveyMonkey's functionalities.

Evaluate AI-generated coding interactions focusing on usability, correctness, and engineering judgment. Provide feedback on response quality and help define standards for effective AI tool interactions.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.