Top AI Jobs in Calgary

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

Build and maintain scalable backend services and APIs, optimize system performance, collaborate with stakeholders, and improve AI workflows.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The Lead Product Designer will define AI-native features and design systems for human-agent collaboration, focusing on interaction models, workflows, and user experiences. Responsibilities include prototyping, mentoring, and contributing to product strategy and design systems.

Design and deploy ML solutions for video analytics. Build MLOps pipelines, collaborate on product features, and troubleshoot AI/ML issues.

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

The AI Content Evaluator will review and annotate content based on structured guidelines to ensure quality and consistency in data annotation for AI models.

Design and build LLM inference stack, optimize performance and cost efficiency, and collaborate on model execution and infrastructure.

As a Senior Technical Program Manager II, you'll lead programs to implement conversational AI products, collaborating across various teams to ensure successful execution and process improvement.

As a Senior Solution Engineer, you'll guide prospects in understanding AI solutions, conduct technical assessments, lead demos, and build relationships with stakeholders, focusing on customer experience transformations.

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

Responsible for developing and deploying AI/ML models, integrating systems, optimizing LLM performance, and implementing MLOps practices within GCP.

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 Senior Software Engineer will develop and maintain platform capabilities across mobile and backend systems, leveraging AI tools for enhanced productivity and code quality, while ensuring system reliability and security.

The Senior AI Applications Engineer provides post-deployment support for AI solutions, ensuring high performance and customer satisfaction through technical expertise and problem-solving.