Top AI Jobs in Calgary

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Sales Executive for Hyperscalers & AI is responsible for developing strategic relationships, driving revenue growth, and closing large-scale sales opportunities in the hyperscaler and AI sectors.

The Senior Software Architect will define the AI-driven architecture for software development, leading teams in cloud-native modernization and integrating AI into development practices across multiple products.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The Forward Deployed AI Strategist leads AI transformation strategy and execution for organizations, engaging with C-level clients to define and implement technology roadmaps that enhance software development processes and business value.

As a Senior Data Engineer, you'll build and manage scalable data platforms using AI tools to process high-volume data and support analytics. You'll own the data lifecycle, architect data models, and automate workflows, enhancing data accessibility for product and analytics teams.

The Lead Product Designer will focus on designing AI capabilities for Piper, an AI SDR, while collaborating closely with engineers and machine learning teams. Responsibilities include creating intuitive interfaces for AI behavior and live chat experiences to enhance user trust and interaction effectiveness.

The role involves leading AI adoption in marketing operations to enhance pipeline performance and streamline processes. Responsibilities include designing AI-driven workflows, managing demand infrastructure, ensuring data integrity, and aligning marketing efforts with revenue operations. Strong emphasis on measurable impact and team collaboration is essential.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

The Data Scientist will develop data labeling strategies, optimize datasets for LLMs, analyze data quality, and collaborate with engineering on data processing pipelines.

Seeking AI Writing Evaluators to assess AI-generated content accuracy and clarity. Responsibilities include prompt development, evaluation, and feedback writing. Requires strong analytical skills and US contextual understanding.

The Senior GRC Advisor supports governance, risk, and compliance in data and AI, advising on assessments, controls, and regulatory requirements while building relationships with stakeholders.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

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 Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

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 Social Media Intern at Inception, you will manage social content across platforms, engage with AI discussions, participate in product launches, and create engaging video content. Aimed at students with a passion for AI and strong writing skills, the role offers direct access to the founding team and the potential for full-time conversion.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

The Director of AI Creative Systems will establish and manage an AI-driven creative production system, ensuring high-quality output across various media. Responsibilities include designing workflows, automating testing, and collaborating with cross-functional teams to streamline creative processes.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

The Applied AI Scientist will develop and experiment with small language models, integrate AI systems, curate training data, and evaluate model performance in a collaborative R&D environment.

The role involves developing computational chemistry tools, implementing AI and physics-based simulations, and maintaining scientific software systems while collaborating with experts across various fields.

The Director of AI Product Management at WatchGuard will drive the strategy and execution of an AI-powered action layer, manage the product roadmap, collaborate cross-functionally, and ensure value delivery to MSP partners.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.