Top AI Jobs in Ottawa

Own end-to-end executive and specialized recruiting searches across CSC Generation’s portfolio. Source passive candidates through talent mapping, direct outreach, referrals, and LinkedIn; partner with executives to define roles and sourcing strategies; manage confidential searches; close difficult hires; maintain passive talent pipelines; and provide competitive talent market intelligence.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Build and ship AI-powered internal systems across investing, talent, founder services, finance, and operations. Projects include talent intelligence, sourcing and research tools, diligence workflows, firm knowledge search, operations automation, and reusable portfolio-company AI tools. The role requires end-to-end ownership, from identifying high-leverage problems and selecting the technical stack to building usable products, working with messy business data, and supporting portfolio founders with AI strategy and implementation.

Embed with clinical, product, and operations teams to deliver production AI features end to end. Build agentic systems using RAG, tool calling, MCP, and orchestration; establish evaluations, validation standards, monitoring, and governance; deploy solutions on the shared AI platform; and create reusable templates and tools. Partner with stakeholders in regulated healthcare environments while improving organizational AI fluency.

Own and evolve MAX Framework APIs and developer experience for AI inference and training. Design scalable APIs, programming models, distributed execution primitives, and developer-facing abstractions across Python and Mojo-adjacent surfaces. Lead RFCs and technical specifications, build reference implementations, establish API quality standards, and collaborate with compiler, runtime, kernels, serving, documentation, and DevRel teams.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Develops AI-assisted content and marketing automation for EMHware and GoodTherapy. Responsibilities include creating HubSpot workflows, optimizing SEO, managing A/B testing, deploying campaigns across digital channels, building KPI dashboards, analyzing attribution and audience segments, and translating marketing data into actionable recommendations.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Build and operate backend systems, APIs, integrations, automation workflows, and enterprise knowledge infrastructure for AI applications. Develop retrieval pipelines, vector database solutions, and agent-based systems while improving scalability, observability, reliability, and performance. The role requires production software engineering, modern AI architecture knowledge, clear documentation, testing, and collaboration with technical and nontechnical teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Tenure-track Assistant Professor specializing in Artificial Intelligence Ethics. Responsibilities include teaching undergraduate and graduate courses, conducting and publishing research, securing external funding, supervising graduate students, contributing university service, and managing and developing an interdisciplinary master’s program in AI Ethics. Candidates must hold a Ph.D. in Philosophy or a related discipline, demonstrate teaching and research excellence, and possess strong French or English communication skills. Bilingualism is required for tenure.

Build automated growth marketing systems for enterprise and mid-market segments using AI, data enrichment, workflow automation, ABM, and intent signals. Responsibilities include lead scoring, CRM data management, outbound orchestration, seller operations automation, account tiering, regional workflow localization, vendor evaluation, and performance reporting against pipeline and SQL goals.

Own quality evaluation for LLM-driven and agentic products by building regression suites, golden datasets, scoring rubrics, and test harnesses. Detect hallucinations, tool-calling failures, prompt regressions, and unsafe behavior. Define reliability metrics, integrate evaluations into CI/CD, improve observability and tracing, contribute to API and end-to-end automation, and coach QA engineers on AI testing practices.

Own bug triage, code fixes, testing, and product quality monitoring across AI-powered products. Interpret user feedback, identify meaningful issues, validate fixes and edge cases, communicate status clearly, and document recurring problems. The role requires independent judgment, product sense, technical troubleshooting, and effective use of Claude Code and other AI tools. It is fully remote for US or Canada-based independent contractors, with potential conversion to full-time employment.

Leads accounting systems transformation and finance automation, including NetSuite and Salesforce optimization, AI agent deployment, integrations, reporting, and internal tooling. Owns project plans, testing, training, go-live, controls, and executive reporting while partnering with engineering and cross-functional teams. Identifies automation opportunities, pilots AI vendors, supports SOX requirements, and trains finance staff on new workflows.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, usefulness, and trustworthiness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development workflows. This is a flexible, remote contract role focused on evaluation rather than production coding.

Build and ship agent orchestration workflows, integrations, and shared infrastructure for AI-driven growth across paid media, lifecycle, organic content, CRO, incentives, and referrals. Implement monitoring, audit logging, creative generation pipelines, and reliable integrations so domain experts can tune and operate workflows independently.

Own full-cycle sales for Featherless’s AI inference cloud, from prospecting and discovery through technical demos, proposals, negotiation, and close. Build relationships with CTOs, ML engineers, and infrastructure leaders; close mid-market and enterprise deals; expand existing accounts; maintain HubSpot CRM accuracy and forecasting; collaborate with CRO, BDR, DevRel, product, and engineering; and help establish repeatable sales and go-to-market processes.