Top AI Jobs in Ottawa

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 a Staff Software Engineer, you'll shape platform architecture and drive AI-powered product delivery, focusing on multi-agent orchestration, workflow automation, and platform integration.

As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.

As a Lead Sales Engineer, you will oversee technical sales for East Coast clients, communicating product benefits, conducting needs assessments, and fostering customer relationships while collaborating with sales teams.

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

As a Sr. AI Engineer, you will develop generative AI applications for sales operations, enhancing efficiency and personalization. Responsibilities include building GenAI tools, developing AI-powered insights, and collaborating with cross-functional teams.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

As a Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

The North America Region Counsel will advise on complex infrastructure contracts, manage legal issues across project lifecycles, and enhance risk management and operational processes.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

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.

The Blue Planet AI Product Manager leads AI integration in service provider networks, analyzing customer needs, managing product backlogs, and ensuring timely delivery of AI capabilities.

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

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.

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.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.