Top AI Jobs in Ottawa

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

Provide senior application support for complex systems including AI/ML solutions in a Government of Canada environment; act as escalation point, liaise with vendors and users, reproduce and resolve issues, implement security requirements, maintain logs, and support deployments and upgrades.

The Revenue Operations Manager will drive data-informed decisions, enhance forecasting and pipeline management, and optimize processes using advanced analytics and AI initiatives.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Senior Product Manager will lead AI contract intelligence solutions, driving product vision, adoption metrics, and cross-functional collaboration to enhance customer value.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

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

Design and build production-grade agentic workflows across GTM systems, owning data pipelines, MCPs, connectors to warehouses and CRMs, LLM tooling (RAG, prompts, tool-calls), observability, governance, and measurable revenue impact.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Lead and scale the organization's AI strategy, teams, and AWS-based AI platform. Drive generative/agentic AI, recommendation/personalization, MLops, governance, metrics, experimentation, and cross-functional adoption to deliver measurable business outcomes.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

The Principal AI Engineer at OutSystems will lead the development of AI systems, collaborate cross-functionally, and mentor other AI engineers in building and deploying scalable AI solutions.

The Sales Executive for Hyperscalers & AI is responsible for developing strategic relationships, driving revenue growth, and closing large-scale sales opportunities in the hyperscaler and AI sectors.

The Product Manager will define and build AI-powered productivity tools, focusing on user experiences, workflows, and collaboration. Responsibilities include product strategy, cross-functional partnerships, and refining AI capabilities based on user needs.

The role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.