Top AI Jobs in Ottawa

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 Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

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.

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 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.

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 Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The Business Development Rep will manage sales pipelines, engage with technical audiences, track CRM metrics, and propose partnership strategies.

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 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.

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

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.