Top AI Jobs in Calgary

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

As a Staff Software Engineer, you'll create systems for AI capabilities, optimize LLM usage, and lead projects to enhance engineering quality by collaborating with product and infrastructure teams.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

As a Senior AI Product Manager, you will optimize product experiences, improve conversion rates, collaborate with teams, and leverage data insights to enhance user engagement.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

The AI Automation Lead develops AI techniques for learning templates, trains GPT models, automates tasks, and collaborates with teams to enhance efficiency.

The Trusted AI Consultant will advance Autodesk's AI governance strategy, conducting risk assessments and collaborating across teams for responsible AI practices.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The role involves designing scalable AI solutions, managing large-scale AI deployments, building client relationships, and delivering presentations. Requires experience in MLOps and knowledge of ML ecosystems.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

Lead design of AI features for Firefox, creating user-friendly experiences, collaborating with cross-functional teams, and evolving design systems. Focus on privacy and ethical AI practices.

The Director of Engineering will lead Platform, SecOps, and Data Science teams, develop technical strategies, oversee cloud infrastructure, and promote security compliance while fostering a culture of innovation and teamwork.

Lead and manage the Data/AI team, guiding architecture and product development while fostering a high-performance work culture.

The role involves designing and building AI-integrated features in the Unity Editor, collaborating with teams to enhance game development tools.

The Senior Forward Deploy Engineer will engage with clients to develop and deploy agentic AI applications, ensure quality delivery, and lead technical projects while mentoring engineers.

As an Applied Gen AI Engineer, you'll design and deploy generative AI systems for code review, collaborating to enhance developer productivity through advanced workflows and models.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Solutions Architect for AI/ML at Snowflake will advise clients on best practices for Data Science workloads, design solutions, and build ML pipelines. Responsibilities also include working hands-on with SQL and Python, maintaining technical expertise and collaborating with teams to improve products.

The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.

Lead and drive AI strategy and data science solutions, providing technical leadership, guiding business partners, and overseeing complex projects.

Lead the integration of AI into enterprise applications by providing strategic guidance, conducting research, mentoring team members, and advising clients on best practices.