Top AI Jobs in Calgary

The AI Engineer will develop and optimize AI solutions, focusing on LLMs, manage datasets, and collaborate with cross-functional teams to align AI/ML solutions with business objectives while ensuring data quality and performance.

The Senior Lead AI Solutions Consultant at Braze drives revenue by enhancing the understanding of the BrazeAI tools, engaging with enterprise customers, leading workshops, and collaborating across teams to improve products and customer solutions.

Join Atlassian as a PhD AI Research Intern, focusing on advanced machine learning and AI technologies. Collaborate with experts, curate datasets, train models, and contribute to academic publications in a supportive team environment.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

Lead the development of AI security products, focusing on data access governance and DLP for SMBs, while driving product strategy, implementation, and market impact.

Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The role involves leading the vision and execution of Zapier’s AI Capabilities team, overseeing the development of AI platform infrastructure, collaborating cross-functionally, and translating AI capabilities into user-facing components.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The AI Content Engineer will enhance product marketing via AI, create personalized content, collaborate with data teams, and focus on metrics-driven strategies.

The Senior Associate Consultant will manage CLM implementation projects, develop strategic roadmaps, and optimize CLM services for corporate clients, focusing on client advisory and technology assessments.

The Product Manager will lead the development of AI-driven safety products, leveraging video data and collaborate with engineering, sales, and customers to enhance operations.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

The Director of Client Operations will manage enterprise client relationships, oversee project execution, and ensure operational excellence for workforce development programs, while identifying opportunities for growth.

As an AI Self-Service Program Manager, you will lead AI platforms for customer experience, driving innovation and improving performance metrics.

Lead the development and scaling of small language models for healthcare, managing data strategies, model training, and team operations, while ensuring ethical and clinical integrity.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.

The role involves designing and implementing AI research infrastructure, building automated data pipelines, and integrating AI systems to enhance research efficiency and insights delivery.

The AI Business Analyst will optimize Dropbox's support systems using AI, analyze performance, and guide AI project prioritization to improve customer outcomes.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance security, improve model performance, and respond to new threats in the Coinbase platform. Responsibilities include collaborating with stakeholders and applying advanced ML techniques.

As a Senior Machine Learning Engineer, you will own a risk domain, architect ML systems, mentor engineers, and apply advanced ML methodologies to enhance security measures against fraud and scams.