Top AI Jobs in Calgary

Lead development of back-end systems and end-to-end data/ML pipelines, build and deploy generative AI workflows, design and consume performant APIs, contribute to AI/ML architecture, mentor engineers, and communicate progress to leadership.

Develop and maintain backend services and data pipelines to support AI/ML and GenAI workflows. Build and consume secure, scalable APIs, work with microservices on Kubernetes, collaborate on design and code review, and grow applied ML skills under senior mentorship.

Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Lead AI-powered sustainability engagements delivering audit-ready GHG inventories, Scope 1-3 calculations, decarbonization planning, and regulatory-ready reporting. Advise executives and auditors, validate AI outputs, analyze ERP and operational datasets, and improve AI models and prompts for consistent, defensible sustainability outcomes.

Lead delivery of AI-assisted sustainability services including GHG inventories, Scope 1-3 calculations, audit-ready reporting, decarbonization planning, and regulatory readiness. Advise executives and auditors, analyze ERP and operational data, validate AI outputs, and continuously improve AI models and processes for defensible sustainability outcomes.

Lead Conversational AI Developer responsible for developing chatbots and virtual assistants, integrating AI technologies, and improving user interactions through data analysis and software development.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

The Founding AI Engineer will design and build an AI-native compliance platform, handling complex financial data and developing scalable backend services, while establishing processes for enterprise readiness.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Lead generative AI image production for realistic personas and models. Build and optimize scalable generative pipelines, automate batch workflows, evaluate new models/tools, define technical direction and best practices, and improve image quality, consistency, speed, and cost-efficiency.

Lead enterprise platform and AI sales across healthcare segments, own end-to-end sales cycle and quota, build pipeline and C-level relationships, negotiate complex agreements, collaborate with Solution Engineering and Product Marketing, surface product feedback, improve buyer journeys, and ensure smooth handoffs to delivery teams.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

Lead AI validation strategy for LLMs, RAG, and agent systems. Build automated CI/CD validation pipelines, design semantic and prompt regression tests, implement guardrails and confidence scoring, monitor production AI quality, and partner with engineering and data governance to ensure safe, accurate, production-ready AI.

The Artificial Intelligence Engineer at Precision AI will lead AI/ML projects, develop and optimize machine learning models, and ensure technical quality while mentoring junior engineers.

The Head of Product - AI will oversee product strategy and market engagement for AI tools in agriculture, ensuring products meet farmer needs and are successful in the market. Responsibilities include defining product direction, maintaining customer relationships, and collaborating with cross-functional teams for effective execution and launch.

Design, build, deploy, and maintain production AI capabilities and intelligent workflows across a multi-tenant SaaS dental platform. Responsibilities include developing agents, MCP servers, models, RAG/embedding solutions, APIs, monitoring, and collaborating on design, code reviews, testing, and production support to improve reliability and customer experience.

Design, build, and operate production AI platform capabilities and agentic workflows across a multi-tenant SaaS product. Collaborate on architecture, write production code, perform design/code reviews, mentor engineers, troubleshoot production issues, and evaluate emerging AI technologies to scale intelligent applications.

As Technical Co-Founder & CTO you'll build and harden an LLM-powered, voice-enabled AI Front Desk for lawyers: own architecture, reliability, observability, delivery infrastructure, unit economics, roadmap, customer-facing technical representation, and recruit the founding engineering team to scale a managed AI staffing platform.

Lead LucentAI as Co-Founder & CEO: define strategy, run customer development and pilots with insurance-defence firms, partner on product/engineering to ship V1, raise seed capital, and recruit and lead the founding team. Equity-only founder role with venture-studio support.

Co-founder and technical lead responsible for building an explainable, audit-ready AI compliance platform: define architecture and security (SOC 2, tenant isolation, encryption, audit logging), ship LLM-powered production features (marketing review, surveillance, trade oversight), own model training and explainability layers, recruit and lead engineering/AI team, engage customers and investors, and drive product, technical, and go-to-market outcomes to reach early revenue targets.

Lead and operate an AI-native recruiting venture: set strategy, run pilot placements, partner on product development, raise seed capital, and hire and lead the founding team while leveraging FutureSight's studio resources.