Top AI Jobs in Calgary

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

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.

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

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 Intermediate Software Engineer specializing in AI, you'll design and build AI-driven features, integrate models, and collaborate on intelligent solutions.

Lead the integration of AI solutions in software development, managing agile teams, and collaborating cross-functionally to ensure rapid delivery of innovative products.

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.

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.

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

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

The Staff Mobile Engineer will lead the architecture and development of a new AI-focused mobile product, ensuring performance, offline capabilities, and mentoring the team. Responsibilities include optimizing AI/audio pipelines and delivering iterative improvements across the application.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

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

The AI Solutions Consultant role involves understanding insurance agency operations, creating solutions for enterprise clients, and supporting post-sale implementation, driving customer success and relationship management.

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.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

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 Solutions Manager leads client engagements focused on AI and automation, managing project lifecycles, optimizing internal processes, and integrating AI tools. They also provide training and performance monitoring.

The Head of Applied AI will lead the AI team, manage architectural initiatives, foster a productive environment, and ensure the delivery of AI features that meet customer needs.

The AI Data Expert will review and evaluate AI-generated outputs and textual content, ensuring cultural relevance and quality. Responsibilities include content analysis, assessing multimedia materials, and providing structured annotations while adhering to detailed guidelines. Native fluency in French and strong English skills are essential, with previous experience in AI evaluation preferred.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Research AI threats, analyze threat actor behavior, produce actionable intelligence, collaborate with teams, and publish findings in the cybersecurity domain.

The Director will lead insights in Research and Development, advise on strategies, analyze market trends, and create impactful content for Gartner clients.