Top AI Jobs in Ottawa

Perform monthly commodity analyses for grains and vegetable oils using supply/demand data and market forecasts; build and manage market intelligence databases; develop and improve constraint-optimization price models and long-range forecasts; support CPRM hedging and coverage strategy decisions; track team KPIs and deliver insights to inform pricing and risk management.

Lead design and development of AI-enhanced baseband solutions across PHY/L1, L2 and scheduling. Identify AI opportunities, prototype and evaluate ML algorithms, optimize for RAN compute and accelerators, validate via simulation/lab/over-the-air, collaborate cross-functionally, scout technologies, and mentor peers to bring prototypes into deployable solutions.

Participate in deployment, configuration, testing and troubleshooting of RAN nodes. Develop automation scripts, integrate AI/LLM-driven use cases and collaborate on 5G feature testing. Maintain documentation and report results.

Teach an asynchronous virtual seminar/workshop on AI, coding, and robotics for elementary education. Deliver course content, apply Ontario curriculum, assess learners, and maintain professional standards. Course runs Nov 17–Dec 8, 2026; expected enrolment 30.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

Lead end-to-end development of full-stack AI features on a Ruby on Rails backend and React frontend. Build and optimize AI infrastructure for production LLM inference, implement RAG and AI agents, design and run experiments and A/B tests, improve tooling and processes for scale, collaborate with designers and leaders, and iterate quickly while maintaining high code quality and user experience.

Manage a cross-functional engineering team building GitLab Duo Chat's AI-powered features. Define requirements with product and UX, contribute to architecture for scalable agentic AI, drive delivery and roadmap execution, improve testing, observability, performance, and coach engineers to foster an inclusive, high-performing team.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Lead end-to-end design for AI-powered developer tools at GitLab. Create flows, wireframes, prototypes, and high-fidelity interfaces for AI agents, chat, and code-assist features. Define success metrics, iterate with PMs and engineers, establish AI-specific design patterns in the design system, mentor other designers, and contribute to product strategy and research-informed decisions.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Design, operate, and improve on-premises MLOps infrastructure to productionize, deploy, monitor, and optimize ML models. Troubleshoot across the stack (Linux, Docker, Kubernetes), refine CI/CD workflows, integrate training/validation testing, and collaborate with data scientists and engineers to ensure reliability and performance at scale.

The Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

As a Staff Machine Learning Engineer, you'll lead AI initiatives using large-scale data, optimize ML models for edge devices, and collaborate with cross-functional teams.

Lead teams in building end-to-end AI products focused on computer vision and sensor data. Oversee model lifecycle, data management, and deployment. Drive innovation in AI while fostering team development and ensuring customer success.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Integrate Workday/Notion, ensure security and data governance, design multi-model LLM reliability, and own production lifecycle including CI/CD, monitoring, and incident response while working with non-technical stakeholders.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

Build, ship, and maintain backend features enabling AI agents to interact with GitLab. Design GraphQL/REST APIs, extend tests (RSpec), work with PostgreSQL, troubleshoot production issues, and collaborate cross-functionally to integrate AI tooling responsibly.

Lead vision, strategy, and execution for Motives AI camera hardware and firmware. Drive NPIs, prioritize firmware features, write technical PRDs, coordinate cross-functional teams, measure device and AI performance, and enable go-to-market readiness for large-scale connected video devices.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Lead end-to-end product design across web and native, run user research, build rapid AI-enabled prototypes, write production frontend code, evolve the design system, and partner with PMs, engineers, and analysts to deliver delightful, outcome-driven experiences for parents.

Lead design and deployment of AI agents and workflow automations across Supply & Operations, coach and lead Operational Excellence (Lean/Six Sigma) projects, build OE capabilities, embed continuous improvement and AI-driven workflows into enterprise systems, and lead global OE programs and strategies in External Supply.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.