Top AI Jobs in Ottawa

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.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

As a Software Engineering Co-op, you will execute tasks independently, collaborate on ICT projects, and engage with AI technologies while contributing to team efforts and knowledge sharing.

The Staff Software Engineer will lead AI-driven initiatives, building systems for advertising, content creation, data modeling, and SEO that enhance real estate agents' market presence.

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.

Design and deploy predictive models and segmentations using statistical and ML/AI methods. Prepare, clean, and feature-engineer data from warehouses, develop and operationalize models, create visualizations and presentations, document rules, and advise stakeholders to inform business decisions and improve data management tools.

The role involves leading as a thought leader in technology operations and AI implementation, mentoring executives, advising on technology strategies, and producing actionable insights for clients.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

Lead end-to-end design for AI-powered developer tools at GitLab. Create flows, wireframes, prototypes, and high-fidelity interfaces for AI agents, chat, and code-assist features. Define success metrics, iterate with PMs and engineers, establish AI-specific design patterns in the design system, mentor other designers, and contribute to product strategy and research-informed decisions.

Develop and support cloud security solutions with AI technologies, enhancing container security. Collaborate and mentor junior engineers in a dynamic team environment.

Design, build, and deploy production-grade AI applications across platforms; architect LLM, multimodal, RAG and agent-based systems; develop full-stack apps (React, Node.js, TypeScript, Python); optimize backend APIs, data pipelines, cost and performance; advise stakeholders on model selection, prompt design, security, and scaling; prototype AI features and ensure responsible AI practices.

Lead strategy and execution for agentic AI product experiences across the DFIR portfolio. Define roadmaps, ship reliable and governed agentic features, drive adoption and growth, instrument metrics and experiments, run continuous discovery, and collaborate cross-functionally to ensure trustworthy, scalable AI-native products.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

Own and deliver GDMS secure AI, GenAI, and data platform in AWS. Define roadmap, reference architectures, and paved roads for Bedrock and SageMaker-based GenAI and MLOps. Implement secure-by-default patterns, IaC/CI-CD automation, monitoring, governance, and operational runbooks while driving adoption and cross-functional delivery.

Lead vision, strategy, and execution for Motives AI camera hardware and firmware. Drive NPIs, prioritize firmware features, write technical PRDs, coordinate cross-functional teams, measure device and AI performance, and enable go-to-market readiness for large-scale connected video devices.

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

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

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

Lead backend development for a cloud-native AI security SaaS: design and deploy scalable microservices and event-driven systems, own features end-to-end, validate AI-generated code for security, implement IaC and CI/CD, mentor engineers, troubleshoot distributed system issues, and collaborate with product, UX, and SRE teams.

Build and deploy production AI/ML features for cybersecurity: design autonomous agent architectures and multi-agent workflows, select and optimize LLMs/SLMs, manage end-to-end ML pipelines, optimize inference and MLOps infrastructure, apply deep learning, time-series and GNN techniques for threat detection, and create automated benchmarking tied to business KPIs.

Design, develop, test, and maintain macOS endpoint applications and supporting backend services using AI-assisted tools. Own features end-to-end, embed automated testing and CI/CD, collaborate on architecture and quality gates, and prioritize security, reliability, and performance.

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