Top AI Jobs in Calgary

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

The Lead Product Manager, AI will identify and build AI-powered products, drive growth and customer experience, and collaborate with cross-functional teams.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The AI Outcomes Manager will collaborate with executives and users to transform organizations into AI-native enterprises, enhance customer engagement, and develop deployment strategies.

The Staff Software Engineer will lead architectural modernization, collaborate across teams, develop proofs of concept, mentor engineers, and ensure technical excellence in delivering high-quality software solutions.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

Manage AI and ML solutions, leading model development and deployment while mentoring engineers and collaborating with cross-functional teams.

Lead business development and strategy for AI infrastructure, focusing on cloud compute buyers and establishing strategic partnerships in the technology ecosystem.

The AI-First Data Scientist will design and deploy ML solutions, conduct causal analysis, and partner with business leaders to drive AI integration into decision-making.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

As a Senior Solution Engineer, you'll guide customers in understanding AI solutions, conduct technical assessments, deliver demos, and provide strategic advice on digital transformation.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

The Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Staff AI Software Engineer is responsible for designing and enhancing software for AI agents, conducting system evaluations, mentoring developers, and driving technical decisions.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.