Top AI Jobs in Calgary

The role involves leading the development and deployment of Generative AI systems, designing solutions with Large Language Models, and mentoring team members.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

The Director, AI-Enabled DevOps Transformation will drive sales and growth in strategic accounts, manage client relationships, develop account strategies, and lead complex engagements in SDLC modernization and AI-enabled delivery.

Execute design and operating effectiveness testing for data and AI governance controls, perform walkthroughs and artifact analysis, identify and document control issues, and provide risk-based advisory support to business, technology, and risk partners to improve control design and governance practices.

Embed with strategic customers to design, build, and ship production AI applications using Anthropic Claude. Lead prototyping, architecture design, agent development, RAG and multi-agent orchestration, cloud integrations, technical discovery, demos/POCs, and presales support. Produce technical artifacts, evaluation frameworks, and reusable accelerators while advising on deployment, risk mitigation, and scaling.

Lead the design and delivery of AI-enabled revenue workflows: analyze funnel and pipeline data, identify automation and AI opportunities, build/configure automations and copilots, partner with Sales/Marketing/Technology to deploy scalable, measured revenue operations improvements.

Design and build AI orchestration architecture using Claude Code; create reusable orchestration patterns (skills, subagents, tools, hooks); optimize for latency, error handling, observability, and testing; run experiments, document learnings, and deliver production orchestrators that accelerate platform development.

Lead martech and agentic AI systems for marketing: define production-ready agents, build and manage the team, deliver AI-driven workflows for lead scoring, enrichment, prospection, orchestration and attribution, cut tool cost, own vendor decisions and observability, and report measurable pipeline and revenue impact to exec and board.

The Lead Product Designer will define AI-native features and design systems for human-agent collaboration, focusing on interaction models, workflows, and user experiences. Responsibilities include prototyping, mentoring, and contributing to product strategy and design systems.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

The Staff Mobile Engineer will lead the architecture and development of a new AI-focused mobile product, ensuring performance, offline capabilities, and mentoring the team. Responsibilities include optimizing AI/audio pipelines and delivering iterative improvements across the application.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

Lead the creative development of AI-assisted video content, overseeing multidisciplinary teams, driving innovation, and integrating Generative AI into video production workflows.

Build and maintain backend cloud services for connected devices, focusing on telemetry ingest, device state management, command/control, and integrations. Own features from design through production, use AI-native engineering practices, collaborate with firmware/mobile/platform teams, write and test reliable code, participate in on-call rotations, and contribute to incident response and documentation.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Design and integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.

Develop multimodal intent-recognition models from gaze, gesture, and voice; implement socially aware navigation respecting personal space; design robot visual and auditory UI feedback; run user studies and rapidly prototype AI-driven voice and visual interfaces.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

Design, orchestrate, and optimize large-scale LLM pre-training across 1,000+ GPUs. Implement 3D parallelism, manage GPU clusters (SLURM/Kubernetes), optimize InfiniBand/RDMA networking and memory, and automate checkpointing and failure recovery for long training runs.

Research, design, and train foundation models for robotics; align text-based reasoning with low-level control policies; evaluate zero-shot generalization; run experiments; integrate models into robotic systems and present findings externally.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.