Top AI Jobs in Ottawa

As Principal Product Manager, you'll define and execute the strategic vision for AI quality, enhancing enterprise search and AI products through cross-functional collaboration and customer insights.

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.

The VP of R&D will lead product development, manage teams across the US and Canada, ensure timely delivery of projects, and drive innovation in alignment with business strategies.

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.

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

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.

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.

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 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.

Design, build, and deliver production-grade agentic AI applications and cloud-native systems. Own agent design, orchestration, multi-provider integrations, RAG, observability, and scalable microservices. Use AI coding assistants across the SDLC, run workshops and POCs, and partner with client stakeholders to move solutions into production.

Lead cross-functional teams to architect, build, and deliver cloud-native, enterprise-grade web applications. Drive AI-native development practices, spec-driven workflows, and use of AI coding agents. Oversee frontend and backend architecture, APIs, integrations, CI/CD, containerization, and observability while mentoring teams and partnering with stakeholders to meet client objectives.

As a Senior Product Designer, you will design and ship frontend code, create intuitive user experiences, conduct research, and build an AI-first design organization at Babylist.

The Staff Product Designer owns a major Babylist experience, designing user interactions across web and mobile, utilizing AI tools and frontend coding skills, while ensuring a user-centered approach and organizational alignment on product vision.

Evaluate and rank AI-generated Computer Science content for factual and technical accuracy, craft domain-specific prompts and questions, provide expert feedback to improve model reasoning, and support AI training and evaluation workflows on a freelance, remote basis.

Lead design and delivery of enterprise-grade AI-native, agentic solutions end-to-end. Architect, build, and scale cloud-native systems (Kubernetes, microservices, serverless), implement multi-provider AI integrations, define evaluation metrics (accuracy, latency, safety, cost), and drive client workshops, POCs, and adoption of AI-native development practices while remaining hands-on throughout delivery.

Support FP&A forecasting, budgeting, and rolling forecasts; build driver-based financial models; analyze variances and deliver insights; create BI dashboards; validate data across ERP, Anaplan, and Snowflake; and automate reporting while enabling AI-driven forecasting.

Drive sales of AI/HPC data center hardware to enterprise and cloud customers, leveraging existing networks and expertise to close deals and advise on solutions.

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

The AI Native Engineer will embed AI into growth marketing strategies, develop AI tools for performance marketing, CRM, and landing pages, and optimize processes for the Growth team.

The role involves leading product management efforts at Babylist, focusing on AI-enabled product development, owner of customer journeys and product features, and driving measurable impact by blending strategic thinking with practical execution involving AI.

The Staff Product Manager will own a major consumer surface or core customer journey at Babylist, defining product strategy, ensuring quality, and leading execution while promoting AI-native workflows and innovation.

Lead vision, roadmap, and hands-on delivery of a secure AI, GenAI, and data platform in AWS. Implement Amazon Bedrock and SageMaker powered GenAI and MLOps capabilities, establish secure data foundations, define guardrails/compliance automation, own platform reliability and onboarding, and drive cross-functional adoption and governance for regulated environments.

Lead the modernization of marketing operations by designing AI-enabled workflows, deploying automation and LLM-based solutions, establishing governance and best practices, driving adoption through playbooks and training, tracking KPIs, and partnering with cross-functional and regional teams to scale high-value use cases and improve marketing productivity.

The Software Engineer II will develop APIs, collaborate with teams on projects, ensure system operations, and contribute to team growth.