Top AI Jobs in Ottawa

The Lead Product Marketing Manager, AI will lead the market strategy for GitLab's AI capabilities, focusing on product positioning, go-to-market execution, and supporting AI tool adoption across the software development lifecycle.

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

Contribute to chip architectures, lead micro-architecture and RTL development, and mentor junior members while working on advanced AI/HPC SOC programs.

Lead the design and engineering of AI agent architectures and cloud-native systems, integrate AI platforms, and engage with clients to implement innovative workflows.

Teaching the course on Generative AI and Large Language Models, focusing on model development, deployment, and practical applications in diverse domains.

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

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 Staff Product Manager will own a major consumer surface or core customer journey at Babylist, defining product strategy, ensuring quality, and leading execution while promoting AI-native workflows and innovation.

The role involves leading product management efforts at Babylist, focusing on AI-enabled product development, owner of customer journeys and product features, and driving measurable impact by blending strategic thinking with practical execution involving AI.

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

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

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.

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.

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.

Lead data and AI transformation programs, build modern data platforms, and deliver solutions leveraging machine learning and AI for business growth.

Seeking a Data & AI Architect to design and implement enterprise-grade data and AI solutions, lead teams, and ensure architectural integrity.

The role involves teaching a course on digital technologies and their impact on education, focusing on algorithms and AI. The instructor will critically examine current and future educational systems, enhancing learning through innovative technologies.

The Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.