Top AI Jobs in Ottawa

Lead architecture, build, and operate production agentic AI systems and shared platform components. Design CI/CD, deployment pipelines, observability, and developer workflows; own end-to-end SDLC; set technical vision; and mentor engineers to deliver reliable, scalable SaaS AI solutions.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Design and implement AI-driven tools to improve workflows across teams. Collaborate to identify internal problems AI can solve, and prototype solutions quickly.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Four-month full-time research fellowship supporting empirical AI safety projects using external models and APIs. Fellows receive mentorship, compute funding, and workspace access to produce public outputs (e.g., papers) across safety, robustness, interpretability, RL, and societal-impact topics.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

Lead Harbor's Data & AI consulting service line for law firms: own P&L and financial performance, develop and productize offerings, oversee delivery and talent development, drive business development and market thought leadership, and ensure measurable client value.

Lead design and delivery of AI solutions (RAG and agentic architectures) for asset and wealth management clients. Architect retrieval pipelines, semantic models, GraphRAG, and cloud integrations. Manage project planning, governance, budgets, technical handover, and mentor development teams while promoting best practices and responsible AI.

Design, deploy, and operate Kubernetes, GPU, and HPC compute across bare metal and cloud. Manage scheduling (Slurm/K8s), CUDA and drivers, storage, observability, IaC, deployment workflows, and support researchers to ensure reliable, scalable inference and research infrastructure.

Lead end-to-end operations for an AI-native Physicist Fellowship: recruit fellows, run selection processes, coordinate advisors and technical teams, design cohort programming, track metrics, and build ecosystem relationships to support AI-driven scientific research.

Design and deliver LLM-powered AI features and agentic workflows for a federal web workflow application: build RAG pipelines, integrate AI/LLM APIs, implement prompt-engineering and orchestration frameworks, ensure observability and responsible AI guardrails, maintain full‑stack systems, and participate in CI/CD and security compliance.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Own end-to-end QA for AI SMS bot and call-training system: review production conversations, create JSON test files, edit Markdown knowledge base (WRONG/RIGHT examples), run test suites, verify fixes, and maintain knowledge base. Operate existing infrastructure using CLI and Git, and write realistic conversational examples and pass/fail criteria.

The Senior Product Manager for SEO will develop strategies to enhance organic traffic, optimize user engagement, and collaborate across teams to implement impactful product features in the fintech and consumer finance sectors.

Senior technical leader responsible for architecting production-grade AI infrastructure for media & entertainment partners. Translate business needs into scalable GPU, storage, networking and inference solutions; validate ISV integrations; influence product roadmap; engage CTO-level stakeholders; and grow a team as the vertical scales.

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 role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Lead design and implementation of LLM-powered product features, integrate AI into Vanta systems, instrument evaluations and monitoring, collaborate with platform and product teams, make pragmatic technical tradeoffs, mentor engineers, and drive AI product quality and adoption to help customers accelerate compliance and risk management.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

Lead end-to-end RFP lifecycle and implement an AI-augmented proposal workflow. Build and maintain an answer corpus, operate and tune RAG/retrieval pipelines, coordinate SME review, and produce persuasive, compliant proposals. Track win rates and continuously improve systems to reduce SME review time and increase competitive win rates.

Lead hardware-software co-design to enable AI/HPC and agentic AI stacks on RISC-V CPUs. Integrate and optimize low-level kernel infrastructure, runtimes, distributed execution, memory systems, and developer tools, collaborating with architects, compiler engineers, and kernel developers to meet performance targets.