Top AI Jobs in Ottawa

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.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

Build and evolve core AI platform capabilities: design shared execution patterns, APIs, and backend services to support multi-step GenAI workflows, model integrations, and scalable production systems. Collaborate with AI engineers, data scientists, and product partners to turn emerging AI use cases into reliable, extensible platform features.

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Lead Andela's marketing strategy across AI services, talent marketplace, and SaaS. Drive brand, demand generation, product marketing, team building, market intelligence, cross-functional GTM alignment, and budget optimization to accelerate growth.

As the Senior Data Scientist for AI & Model Risk, you will lead AI risk assessments, coordinate with stakeholders, evaluate AI system designs, and ensure compliance with risk management principles in financial services.

Produce provocative, research-driven insights and advisory for CFOs, develop thought leadership on finance transformation and AI, deliver client-facing presentations, support sales and peer review, mentor junior analysts, and drive research process improvements to influence finance strategy and market agendas.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Partner Manager will drive revenue growth through strategic partnerships, managing partner relationships, and collaborating with sales and marketing teams.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.

Provide legal guidance on privacy and AI governance across product, engineering, and commercial teams. Draft and negotiate DPAs/BAAs and AI terms, lead PbD/PIAs/DPIAs/AI risk assessments, maintain governance policies and RoPAs, manage DSARs and cookie compliance, respond to customer privacy/AI inquiries, monitor global privacy and AI regulation, and interface with regulators and works councils.

Design, build, and maintain scalable cloud-native backend services for TrendAI Vision One using an AI-first approach. Implement APIs, data pipelines, automated tests, CI/CD, and IaC; work with relational and vector/graph stores; participate in on-call rotations and cross-functional system integration and troubleshooting.

Design, implement, and automate API and UI tests for Navigator Intelligent Apps using agentic and generative AI. Create AI-enabled test cases, analyze results to find defects, manage CI/CD test execution, and collaborate with development teams to resolve issues and ensure release quality.

Lead AI adoption across ASIC design, verification, and physical design by defining scalable AI methodologies, developing agent-based workflows and guardrails, integrating tools, mentoring teams, and prioritizing high-impact AI use cases to improve productivity and IP protection.

Develop and optimize Edge AI software on NXP SoCs, deploy machine learning models to real-time embedded platforms, integrate AI inference runtimes, profile and optimize latency/memory/power, collaborate with cross-functional teams, and participate in implementation, testing, debugging, and validation.

Design, deploy, and operate on-premises AI infrastructure using Kubernetes and Docker. Implement and manage LLM serving (SGLang/vLLM), orchestration (LiteLLM), vector DBs (Milvus), and observability (Langfuse/Prometheus/Grafana). Ensure enterprise security and compliance, collaborate with AI architects and product teams, and deliver documentation and guidance for internal AI platform use.