Top AI Jobs in Calgary

The Senior AI Operations Product Manager will define AI product strategy, manage the product roadmap, translate business needs into technical requirements, and guide agile development processes for AI solutions at Motive.

Manage strategic partnerships at Zapier, focusing on building relationships and co-developing product experiences with technology partners, driving new business and growth initiatives.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

The Director will lead the adoption of AI analytics and autonomous systems, integrate data for insights, manage technical governance, and drive collaborative innovation in AI technology.

The Senior Manager will develop guidelines, tools, and training for assurance professionals, focusing on high-quality engagements and adherence to standards, while also engaging in training, technical research, compliance support, and innovative technologies.

Lead the development of intelligent AI systems for the public sector, integrating technology into impactful solutions while mentoring teams and driving innovation.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Software Development Manager leads a technical team, overseeing project design, technical solutions, and team development while actively coding and reviewing work.

The Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

As Director of Sales, you will drive revenue growth through new and existing customer acquisition, manage the sales cycle, and develop strategies for market expansion in the pharmaceutical sector.

Lead product management for AI and automation, developing strategy and integrating with operations. Focus on customer value, team performance, and market impact.

Assist in documenting operational processes, identify inefficiencies, recommend AI solutions, and support training for Microsoft Copilot integration.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

As a Senior Backend Engineer at Speechify, you will focus on optimizing infrastructure, working with voice cloning and text-to-speech solutions, primarily using Python and cloud services.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The AI Researcher will develop voice-based diagnostic technology, advance Large Acoustic Models, conduct research, and collaborate with the engineering team.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

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

The Director Analyst will create and advise on research for clients, providing insights, predictions, and actionable advice in AI and Cybersecurity while supporting sales.

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.