Top AI Jobs in Calgary

As an AI/ML Engineer Intern, contribute to designing and deploying machine learning systems, automate workflows, build data pipelines, and collaborate with experienced teams to solve high-impact problems.

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.

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.

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.

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

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

Lead development of AI-driven features, manage integrations and teams, oversee product strategy, and cultivate relationships to drive business growth.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

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

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

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

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Lead the Agentic AI Pod to develop and implement AI strategies and products that enhance event marketing workflows and user experiences.

The AI/ML Engineer will design and develop AI-powered applications, automate workflows, and integrate AI into BPM's daily operations, ensuring they deliver business value.