Top AI Jobs in Calgary

As a Full Stack AI Engineer at Create Music Group, you'll design and deliver AI-powered features, build scalable applications, and collaborate on high-priority AI initiatives to enhance CreateOS, a new operating system for record labels.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

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 Chief Growth Officer will lead enterprise growth strategy, oversee AI-powered demand generation, and manage content and product marketing to drive sales.

The Frontend Engineer will build interfaces for software delivery, collaborating with cross-functional teams, driving feature development, mentoring teammates, and advancing engineering standards.

The Forward Deployed Engineer will build and optimize internal tools and workflows that enhance AI efficiency, using full-stack development and cloud infrastructure expertise.

Drive sales of AI/HPC data center hardware to enterprise, cloud, and research customers; develop sales strategies and manage relationships with OEMs and VARs.

The Elastic AI Engineer will develop agentic workflows, integrate AI models with APIs, manage agent lifecycles, and implement security standards.

As a Senior AI-Enabled Full-Stack Developer, you will integrate AI into products, design scalable architectures, build full-stack apps, and mentor peers while collaborating internationally.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

Develop and integrate AI software features, work with product managers, troubleshoot with QA, and take ownership of modules for EDA.

As an AI Strategist, guide organizations in adopting AI by translating business challenges into clear use cases, aligning with enterprise architecture, and influencing high-impact decisions across teams.

Lead product marketing for Procore's AI initiatives, shaping strategy, messaging, and sales enablement while driving AI adoption in construction.

The AI/ML Engineer will develop and maintain AI/ML pipelines, leverage Generative AI technologies, and collaborate with teams to integrate solutions.

As a Principal AI/ML Architect, you will lead ML assessments, provide architectural guidance, and advise on ML operations across diverse client engagements, ensuring technical quality and building customer confidence through high-quality proof of concepts.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

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.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

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.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.