Top AI Jobs in Ottawa

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The AI/ML Architect will design scalable AI and ML solutions, lead technical teams, evaluate technologies, and ensure high-quality project delivery across the organization.

Design and build scalable backend services and APIs, develop distributed systems for AI integration, ensure system reliability, and collaborate cross-functionally.

Execute technical and content SEO, local SEO, and AI discoverability for ecommerce and content-heavy sites. Perform audits, implement structured data/schema, on-page optimization, keyword research, Google Business Profile management, and use GA4/Search Console/Looker Studio and SEO tools to tie search performance to business KPIs while partnering with cross-functional teams.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

As a Senior Android Developer, you'll enhance the Life360 app, implement modern UI components, collaborate with teams, and utilize AI in development workflows.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

Lead the development and execution of internal AI solutions, prioritize features, define product requirements, and communicate across teams to measure impact.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.