Top AI Jobs in Ottawa

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.

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

Develop and maintain AI agent platforms, integrate LLMs, design workflows, and ensure compliance with privacy regulations while collaborating with cross-functional teams.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

The Account Executive will drive customer acquisition in the AI-native sector, manage the sales cycle, create a scalable sales playbook, and collaborate cross-functionally to establish Metronome as a leading billing infrastructure.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The Senior Backend Engineer will develop 3D AutoReview features, manage pipeline architecture, collaborate with teams, and maintain high technical standards in backend development.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

Lead the vision and execution of the AI Agents Platform, integrating AI into customer experiences while defining product strategy and requirements. Collaborate across teams to enhance user experience and drive product success.

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

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 Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

As an AI Kernel Engineer, you will design and optimize high-performance kernels for ML applications, leveraging low-level programming and collaborating with cross-functional teams to drive performance improvements in AI infrastructure.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Develop and maintain a platform for AI agents, focusing on multi-agent collaboration, workflow management, and compliance with AI privacy standards.

Lead the Agentic AI Pod to develop and implement AI strategies and products that enhance event marketing workflows and user experiences.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.