Top AI Jobs in Ottawa

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.

As a Senior Data Scientist, you will influence product direction, collaborate with cross-functional teams, and leverage data analytics to drive AI product development.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

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.

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 Lead Product Marketing Manager will define product marketing strategies, drive go-to-market initiatives, mentor a marketing team, and enhance sales enablement to elevate market presence and drive revenue.

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

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.

This role involves driving AI adoption at Coinbase by developing AI automation solutions, collaborating with teams, and managing prototypes to enhance efficiency and ROI.

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.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

The role involves ensuring the reliability of Veeva AI Agents through evaluation strategies, LLM output integrity assessments, and automation of evaluation pipelines while debugging and reporting performance metrics.

As a Senior Account Manager, you will drive AI transformation for enterprise clients by managing relationships, developing strategic plans, and leading negotiations to achieve revenue targets.

The Senior AI Platform Engineer will define AI feature specs, own end-to-end AI delivery, and build production-grade AI applications on AWS, utilizing Java, TypeScript, and Python.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.