Top AI Jobs in Ottawa

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.

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 a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

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.

The Applied AI Sr. Backend Software Developer will design, develop, and support SaaS products while mentoring junior engineers and driving architectural decisions.

The Applied AI Backend Sr. Software Developer will design, develop, and maintain SaaS products, mentor junior engineers, and ensure robust backend services using AI tools.

The Applied AI Backend Software Developer will design, develop, and maintain scalable AI-driven backend services. Responsibilities include using AI coding assistants for development, integrating cloud services, and automating testing. Collaboration with cross-functional teams and staying updated on emerging technologies is also required.

The role involves developing and supporting SaaS products, leading architectural decisions, mentoring engineers, and ensuring code quality in AI-driven projects.

Develop and support AI-driven SaaS solutions, lead architectural decisions, mentor engineers, design scalable microservices, and ensure code quality.

Build agentic applications and tooling with LLM infrastructure, requiring hands-on engineering in a high-pressure environment. Deliver quality under tight deadlines.

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.

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.

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.

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.

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.