Top AI Jobs in Calgary

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

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.

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.

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

Join Modus Create as a Content Designer to shape user experiences in a mobile app focusing on loyalty and AI. You'll collaborate with cross-functional teams, translating complex mechanics into clear language and driving user engagement.

The role involves architecting AI-integrated deployments, ensuring customer success through automation and LLMs, navigating complex enterprise infrastructures, and enhancing renewals while collaborating across departments.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

The Intermediate AI Developer will create AI agents for automating administrative tasks in workforce management, improve workflows, and mentor junior developers.

The Senior AI Developer will create and integrate AI-powered features into a practice management platform, focusing on LLMs and agentic AI. Responsibilities include feature design, architecture implementation, collaboration with teams, and evaluation of emerging AI technologies.

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

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.

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.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

As a Product Manager for Platform Intelligence, you will lead the AI/ML strategy for the Accelerant Risk Exchange, collaborating across teams to enhance decision-making tools for specialty insurance risk management.

The Senior Backend Engineer will design, implement, and manage scalable AI services and workflows, utilizing Java or Python within a Kubernetes environment while ensuring high availability and integration with various AI solutions.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

As an AI Product Intern, you'll design, develop, and deploy AI-powered software, working closely with teams to solve real-world problems and improve applications based on user feedback.