Top AI Jobs in Calgary

The Director of FP&A and AI Finance leads budgeting, forecasting, and financial analysis, driving AI process transformations and managing an FP&A team to provide insights and support business decisions.

The AI Enterprise Applications Specialist manages and supports AI-driven applications in Microsoft 365, focusing on Copilot integrations, user enablement, and governance, ensuring effective adoption and optimization.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

Lead the design and governance of the data architecture for Agiloft's AI operations, ensuring data quality and engineering standards support diverse AI use cases. Oversee cross-departmental data modeling, data integrations, and development of AI-focused data solutions to enhance contract lifecycle management.

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.

The Founding Engineer will architect and build an AI-native compliance platform, focusing on document processing, AI systems, and productionization, while collaborating with the founding team.

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.

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.

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.

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.

Lead the development of an AI-powered platform focusing on customer experiences, integrating LLM systems and optimizing automation within the automotive industry.

Lead the development of Jerry.ai's AI platform and customer experiences, collaborating with engineers and partners to optimize processes and systems.

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.

Lead AI platform development at Jerry.ai, focusing on customer experiences and automation using large language models and internal APIs. Collaborate with engineers to enhance service efficiency and maintain product standards.

Lead the development of an AI-powered customer experience platform, collaborating with engineering and applying AI best practices for improvement and scaling.

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

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

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

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

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

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

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.