Top AI Jobs in Ottawa

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Leads strategic pricing and monetization across Block’s sales-driven channels. Manages a team supporting complex enterprise deals, develops pricing and approval frameworks, and partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations. Uses automation, AI, and data to scale Deal Desk capabilities, improve commercial governance, analyze deal economics, and identify broader pricing, packaging, monetization, and portfolio opportunities.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Supports the governance, risk, and compliance program with a focus on third-party risk management. Conducts vendor assessments, maintains security policies and standards, performs risk analysis, supports SOC 2 audits, gathers evidence, tracks findings, and conducts internal audits. The role also uses AI and machine learning tools to improve GRC processes and promotes security awareness across the organization.

Build infrastructure and tooling for AI evaluation, including distributed execution, task-set validation, graders, human-review calibration, statistical reporting, online feedback loops, and offline-to-online analysis. Partner with product, engineering, data, and ML teams to create reliable evaluation workflows that support faster, statistically sound AI product decisions.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Design and develop software for 5G and 6G wireless systems, RAN platforms, distributed telecom architectures, and cloud-native applications. Develop AI/ML and GenAI capabilities using LLMs, RAG, agents, and knowledge systems for telecom analytics and automation. Collaborate with architects, developers, data scientists, and global engineering teams on integration, optimization, validation, software quality, and production deployments.

Create technical content, videos, demos, presentations, and product walkthroughs showcasing GitLab’s DevSecOps and AI agent capabilities. Engage developers, customers, sales teams, and online communities through webinars, events, forums, Discord, and social platforms. Answer technical questions, deliver analyst briefings, research the developer tools landscape, test new features, and provide product feedback. The role is remote, supports U.S. and Canadian time zones, and requires up to 20% travel.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Create and answer prompts, review AI-generated responses, evaluate reasoning for correctness, and provide constructive feedback to improve AI model accuracy. The role requires clear English writing, critical thinking, problem-solving, and a bachelor's degree. Work is flexible and remote, but applicants must reside in Australia, Ireland, New Zealand, the United Kingdom, the United States, or Canada and complete identity or work authorization verification.

Lead organizational change management for enterprise AI and Generative AI transformations. Responsibilities include developing change strategies and roadmaps, assessing readiness and impacts, advising executives on workforce and responsible AI considerations, creating communications and training, driving adoption, measuring readiness and value realization, and building reusable change-management playbooks and toolkits. The role supports initiatives across strategy, discovery, piloting, deployment, scaling, and sustained adoption.

Leads Square’s US Business Development Representative organization through managers and frontline teams. Owns pipeline generation strategy, operating cadence, performance management, forecasting, capacity planning, outbound execution, and sales technology improvements. Coaches managers, develops BDR talent, hires and retains staff, and partners with Sales, Marketing, Revenue Operations, Enablement, Analytics, and Strategy to improve funnel conversion and revenue contribution. Uses data, automation, AI, and prospecting tools to improve productivity and scale successful programs.

Own IT internal audit projects and portions of the SOX program, including ITGC and ITAC testing, risk assessment, controls evaluation, remediation, and audit reporting. Partner with audit, finance, engineering, process owners, external auditors, and co-sourcing partners. Help establish an AI audit methodology and implement AI-enabled audit efficiencies while maintaining quality, independence, and reliability.

Develop and own scalable AI-enabled software and data engineering solutions for RAN reliability and customer deployments. Build ingestion and processing pipelines, AI-ready datasets, and secure integrations into Git, Gerrit, CI/CD, testing, and development workflows. Transform prototypes into maintainable products while ensuring data quality, traceability, access control, monitoring, and vulnerability management. Collaborate with engineers, data scientists, architects, and product stakeholders, provide mentorship, and promote responsible AI-assisted development.

Build evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experiments for production AI agents. Lead a hands-on AI Quality engineering team, improve agent quality, latency, and cost, and partner with AI Core engineering. The role requires developing evaluation pipelines, scorers, dashboards, CI/CD systems, and model-testing frameworks while managing team priorities and technical direction.

Own regional Sales Operations infrastructure for NAMER, including territory and quota planning, account segmentation, forecasting governance, pipeline inspection, CRM hygiene, executive reporting, and operational cadence. Partner with Sales, Finance, Compensation, Systems, Analytics, and Enablement to improve coverage, forecast accuracy, workflow automation, and sales execution. Support organization design, onboarding, incentive programs, and channel deal registration while applying AI-enabled tools and sound business judgment.

Lead the evaluation, training, fine-tuning, and production integration of machine learning and large language models. Build prompt engineering and model evaluation pipelines, optimize Elasticsearch-backed AI workflows, benchmark commercial and open-source models, and monitor production performance. Collaborate with product, engineering, and security teams to deliver safe, scalable AI capabilities while identifying improvements to data pipelines and engineering processes.

Develops AI-powered solutions for system verification, testing, and engineering workflows. Responsibilities include building Generative AI, LLM, RAG, and agentic AI applications; integrating AI tools with engineering systems; analyzing quality and testing data; supporting proof-of-concepts; and creating dashboards and visualizations. The role collaborates with verification engineers, test managers, and software developers to improve automation, productivity, and product quality.

Leads product strategy and adoption for GitLab’s AI-powered software creation experience. Owns the journey from discovery and onboarding through activation, retention, conversion, and expansion across individual developers, teams, administrators, and buyers. Uses customer research, product analytics, funnel and cohort analysis, and experimentation to identify friction, measure outcomes, and improve growth. Partners cross-functionally across GitLab to create a coherent AI Software Factory experience and drive enterprise B2B product-led growth.

Teach an in-person graduate course on advanced medical instrumentation, covering medical diagnosis systems, biosensors, diagnostic imaging, laboratory tests, vital-signal acquisition and processing, artificial intelligence, and automated diagnostic products. The instructor will integrate theoretical and practical engineering concepts and guide students in applying them to medical diagnostic technologies.

Teach a three-credit, in-person course on advanced artificial intelligence, including agentic and multi-agent systems, autonomous task execution, resource coordination, system design, orchestration, governance, and deployment across scientific, industrial, and engineering environments.

Teach an in-person, three-credit course on agentic AI systems innovation and design during the Winter 2027 semester. The course covers autonomous and multi-agent systems, task execution, resource coordination, goal achievement, system orchestration, governance, and deployment across engineering and industrial environments. Candidates must hold a PhD in Mechanical Engineering, have extensive relevant research experience, and be licensed or eligible for professional engineering licensure in Canada.

Advances People & Culture technology through Workday configuration, automation, AI, and process improvement. Partners with HR stakeholders, Workday analysts, project managers, and IT to define requirements, develop scalable solutions, improve employee experience, and maintain privacy, legal, security, and ethical standards. Manages multiple global initiatives across more than 37 countries.

Lead the integrated robotaxi program plan from autonomy and vehicle readiness through safety validation, fleet operations, regulatory approvals, and commercial launch. Manage cross-functional dependencies, risks, milestones, KPIs, executive reporting, and scalable tracking processes while coordinating engineering, safety, commercial, operations, and external partners.