Top AI Jobs in Ottawa

Lead the fullstack development of Glean's Generative AI products, managing and mentoring engineers while driving product improvements and team growth.

The Product Manager will evaluate and manage relationships with LLM models, define product strategy, and coordinate cross-functionally to enhance customer experience while driving product roadmap and adoption.

The Staff Software Engineer will lead architectural modernization, collaborate across teams, develop proofs of concept, mentor engineers, and ensure technical excellence in delivering high-quality software solutions.

Lead complex content strategies for digital ecosystems, addressing user needs and business goals through scalable architecture and governance models. Collaborate across teams, conduct audits, and advise on AI capabilities, ensuring clarity and effectiveness in content systems.

The Staff Applied AI Scientist develops AI and machine learning systems for cybersecurity, managing the full lifecycle of language models and ensuring production-grade performance.

Lead design and development of the Solace Agent Mesh and related backend systems. Build scalable APIs, optimize performance, write automated tests and CI/CD pipelines, diagnose defects, collaborate cross-functionally, and produce technical documentation.

Develop generative AI models, implement various techniques for decision-making, and optimize pipelines for improved adaptability and robustness in AI systems.

Design and build an end-to-end AI Flywheel: mine edge cases, orchestrate multi-node distributed training, automate evaluation/selection, package and deploy models, and scale continuous learning across a fleet of autonomous trucks.

Lead performance and scalability strategy for RHOAI components, build automated benchmarking and analysis tools, identify and resolve performance bottlenecks, collaborate with product and engineering, triage customer performance issues, mentor engineers, and represent Red Hat externally.

Responsible for developing software, ensuring code quality, collaborating with project teams, communicating technical decisions, and managing deployments. Requires extensive experience in Java, Typescript, AWS, and software development principles.

The AI Automation Engineer will design and build autonomous AI agents for various business functions, integrate AI with existing systems, and influence the internal AI strategy. They will also manage the lifecycle of AI agents and ensure effective communication with stakeholders.

Senior consultant who designs, implements, and deploys generative AI solutions (LLMs/agents) in cloud and on-prem environments, works directly with clients, writes production-quality code, and supports proposals and sales.

As Staff Product Manager for the AI Platform, you'll define the vision and roadmap, establish execution methods, and collaborate across teams to ensure safe and efficient AI operations in a scalable enterprise platform.

The Ecosystem Growth Manager will drive growth in the AIVM ecosystem by onboarding resource providers, attracting AI developers, and forming strategic partnerships, focusing on decentralized cloud infrastructure.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Lead a team of data scientists and AI engineers to deliver AI-driven solutions and drive business impact through innovation and collaboration.

Perform French-Canadian language annotation and rating tasks for AI training data with high accuracy, meet deadlines, research as needed, and communicate in French-Canadian and English. Temporary, part-time freelance role (15–20 hrs/week) with NDA requirement.

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

Lead QA strategy and implementation for an AI-first engineering org. Architect scalable automated testing across backend, frontend, APIs, and AI features. Build AI-agent-driven QA workflows, integrate LLM tooling into CI/CD, set quality metrics and SLAs, and drive cross-functional quality ownership. Mentor engineers and transition teams from traditional QA to autonomous, AI-enhanced quality systems.

Lead the creation and deployment of AI-augmented tools and workflows for a 250+ person UX org: define AI technical strategy, prototype and ship full-stack applications and plugins, partner cross-functionally to drive tool adoption, and elevate AI fluency across design teams.

Design, build, operate, and scale production-grade AI orchestration systems (RAG, agents, pipelines). Implement evaluation, observability, MLOps, and secure microservices; collaborate cross-functionally and mentor engineers.

The Lead AI Engineer will architect and guide the development of enterprise AI agents, mentor senior engineers, and ensure alignment with strategic goals.

The Founding Account Executive will manage the full sales cycle for enterprise customers, focusing on regulated industries and driving long-term account growth.