Top AI Jobs in Ottawa

Drive adoption and revenue growth for Anthropic’s AI solutions across the Canadian public sector. Own the full sales cycle, develop strategic account plans, navigate government procurement and security requirements, build executive relationships, coordinate with cloud providers and system integrators, represent Anthropic at industry events, provide market intelligence, and create public-sector sales playbooks. The role is anchored in Canada’s National Capital Region and requires bilingual English/French engagement where needed.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Build and scale backend systems and AI workflows for Spellbook’s legal technology platform. Responsibilities include designing reliable search, inference, orchestration, and RAG retrieval systems; managing rate limits, retries, fallbacks, permissions, and data isolation; optimizing MongoDB performance; partnering with Product and Design; and participating in on-call response. The role requires strong distributed-systems expertise, production backend experience, and the ability to turn ambiguous problems into reliable shipped solutions.

Lead the enterprise readiness and platform modernization strategy for SaaS Manager. Own product strategy, roadmap, prioritization, customer discovery, technical architecture decisions, integrations, data ingestion, reliability, administration experiences, and responsible AI capabilities. Collaborate across Product, Engineering, Design, Security, Privacy, Analytics, and go-to-market teams to define milestones, measure outcomes, manage dependencies and risks, coordinate launches, and iterate based on customer feedback.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Lead positioning, messaging, go-to-market strategy, launches, channel enablement, competitive intelligence, and analyst relations for Sophos’ AI cybersecurity solutions. Translate complex technical capabilities into buyer- and partner-focused narratives, build launch assets and sales tools, and coordinate cross-functional execution across product, sales, marketing, and research teams. The role also develops customer feedback loops, competitive battlecards, and category-defining market perspectives.

Define and execute Firefox Desktop search strategy across Windows, macOS, and Linux. Own search roadmaps, experimentation, engagement and revenue metrics, AI-powered search experiences, partner commitments, and cross-functional delivery. Balance user experience, privacy, technical constraints, and business outcomes while collaborating with Engineering, Design, Research, Data Science, and Business Development.

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 go-to-market strategy and launches for an agentic AI business unit serving regulated life sciences buyers. Develop product positioning, messaging, narratives, sales enablement, campaigns, and customer-facing value propositions. Partner with Product, Sales, Demand Generation, and Revenue Operations, track pipeline and revenue impact, and use AI tools to streamline marketing execution. The role requires B2B SaaS or technology marketing experience, strong technical writing, product launch expertise, and cross-time-zone collaboration.

Design and implement end-to-end AI systems and production-grade components. Build and maintain RAG pipelines, backend services, APIs, and data pipelines. Write Python code using Azure AI SDK. Implement document digitization, vectorization, semantic search, and content summarization. Prepare training/evaluation datasets, participate in code reviews, and drive engineering quality and deployment of AI-powered SaaS workflows.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Build Wealthsimple’s shared AI platform for engineering teams, including LLM-powered developer tooling, automated code review, deployment checks, governance controls, and policy guardrails. Drive adoption across Ruby, Python, TypeScript, and Java/Kotlin teams; measure platform impact; establish AI engineering standards; collaborate cross-functionally; and mentor developers.

Lead the design and delivery of Agentic AI solutions to enhance customer experience and operational efficiency, focusing on enterprise-wide AI transformation.

Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

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.

Develop and execute go-to-market strategy for AI products: define positioning and messaging, conduct market and competitive analysis, enable sales, coordinate launches, gather customer insights, and measure product performance.

Write and refine on-brand social copy across major platforms, engage fan communities, fact-check content, maintain brand voice guidance, and identify timely cultural opportunities. Use AI agents and reusable workflows to create variants, perform checks, summarize community themes, and improve team processes. The role requires strong editorial judgment, platform awareness, excellent written English, accessibility and accuracy expertise, reliable collaboration, and demonstrated hands-on experience using AI tools beyond basic chatbot prompting.

Own client relationships and account health for complex social media operations. Translate client goals into clear briefs, coordinate planning, publishing, community management, reporting, approvals, and handoffs, and resolve delivery issues. Improve workflows using AI tools and agentic processes, review AI-generated work critically, interpret performance data, protect service quality, track scope and capacity, and communicate recommendations and risks clearly across clients and internal teams.