Top AI Jobs in Ottawa

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Own revenue growth across foundation AI labs, technology companies, and enterprises. The role leads account expansion, new-logo sales, multi-million-dollar negotiations, forecasting, and executive relationships while shaping product packaging, pricing, and new revenue lines. It also partners with Product, Engineering, Delivery, and Operations to commercialize AI data, evaluation, staffing, and agentic offerings, build repeatable sales motions, lead a growing commercial team, and represent the company in the frontier AI community.

Owns CSL Plasma’s target-state business architecture, capability models, value streams, architecture decisions, integration standards, and technology roadmaps. Translates business strategy and regulatory requirements into architecture blueprints across digital products, while governing AI, automation, data, and integration patterns. Partners with product, engineering, enterprise architecture, security, privacy, and compliance teams to drive committed designs, architectural consistency, and migration sequencing across a complex regulated environment.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Directs sales expansion for Research Intelligence solutions, securing new academic customers and growing existing accounts. Develops go-to-market and account strategies, applies consultative complex-solution selling, achieves bookings targets, maintains Salesforce forecasts, gathers market insights, and represents the portfolio at industry events. The role requires experience selling enterprise software and Elsevier Research Intelligence solutions to academic and research institutions.

Own and optimize digital customer success campaigns across onboarding, activation, adoption, retention, and expansion. Build scalable customer journeys, triggered programs, messaging, dashboards, and reporting. Analyze customer and product signals, monitor lifecycle metrics, conduct A/B testing and cohort analysis, and improve campaign performance. Collaborate with Customer Success, Product, Data, Marketing, Content, Support, and Operations teams to deliver measurable customer outcomes at scale.

Lead complex enterprise customer engagements involving secure, resilient, AI-enabled Azure solutions. Advise executives and technical leaders, improve solution health, performance, and availability, resolve critical incidents, and drive cloud adoption and business value. Deliver proactive assessments, workshops, guidance, and support while collaborating with account, engineering, and support teams. Influence product roadmaps, identify growth opportunities, mentor technical talent, lead projects, and contribute to customer success strategies and on-call support.

Develop and enhance enterprise AI agents, agentic workflows, conversational applications, and automation using Python, LangGraph, and LangChain. Build capabilities for planning, orchestration, memory, tool calling, observability, and enterprise integrations. Collaborate with engineering teams and stakeholders to deliver scalable production-grade Generative AI solutions, troubleshoot issues, improve reliability, and establish AI engineering best practices.

Perform AI data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and other content. The role requires native-level Canadian French and fluent or advanced English. Prior experience with machine learning tasks, data preprocessing, quality assurance, or data annotation is preferred. This is flexible, part-time freelance work conducted fully remotely.

Own Xnurta’s growth funnel from signup through activation and expansion while leading product positioning, messaging, packaging, launches, and sales enablement. The role combines hands-on experimentation, funnel instrumentation, customer research, competitive analysis, and AI product marketing. Success requires shipping growth improvements, influencing roadmap decisions, and demonstrating measurable activation or expansion gains in a B2B SaaS environment.

Leads Revenue Operations strategy, systems, processes, forecasting, capacity planning, territory design, reporting, and cross-functional GTM initiatives. Owns Salesforce data integrity, automation, and revenue process scalability from lead qualification through expansion and retention. Manages and develops a high-performing team while partnering with Sales, Marketing, Customer Success, Finance, and Operations leadership to improve data-driven decision-making, change adoption, and operational performance.

Design and optimize large-scale AI training, inference, GPU infrastructure, and MLOps systems for CBC/Radio-Canada’s media production environments. Architect integrations with PAM, MAM, studios, Avid, Dalet, Adobe, and live media workflows. Lead performance, scalability, security, reliability, and observability initiatives while mentoring engineers and data scientists. Evaluate AI frameworks, cloud platforms, orchestration tools, agent protocols, and model-serving architectures, and communicate technical strategies to decision-makers.

Administer and govern enterprise AI platforms, Microsoft Copilot services, LLM gateways, and AI agents. Monitor platform health, usage, costs, security, and compliance while supporting lifecycle controls, incident response, observability, service management, automation, and responsible AI practices. Collaborate with technical, legal, privacy, security, and business stakeholders to ensure reliable, auditable, and cost-effective AI adoption.

Lead the engineering and SaaS operations organization, managing directors and multiple product teams. Own architecture, legacy modernization, AI-assisted development adoption, quality, releases, reliability, security operations, cloud costs, and customer outcomes. Establish measurable engineering experiments, improve delivery predictability, oversee production operations, and partner with Product and Customer Success on roadmap execution and escalations.

The Creative Director will set AlgaeCal’s visual and brand standards, lead multidisciplinary creative teams, and oversee campaigns, launches, websites, advertisements, and brand assets. Responsibilities include developing creative strategy, improving workflows, using performance data to optimize advertising, hiring and developing talent, influencing senior stakeholders, and applying AI to creative processes while maintaining originality and quality.

Leads complex, large-scale technical programs across multiple teams, products, and organizations. Manages portfolios, timelines, dependencies, risks, resources, and blockers while serving as the primary client and executive stakeholder contact. Partners with engineering, product, design, project management, and senior leadership to evaluate trade-offs, align teams, translate technical issues into business decisions, and drive predictable delivery and continuous improvement.

Own Lithos’s multi-year GPU, networking, and data-center capacity strategy. Lead vendor sourcing, procurement, negotiations, infrastructure contracts, pricing, SLAs, acceptance testing, and vendor performance tracking. Model total cost of ownership and cost per unit of compute performance while partnering with engineering to ensure purchased infrastructure supports inference workloads. Build capacity-planning processes, spreadsheets, scorecards, and vendor relationships as an initial team of one.

Own enterprise sales from technical evaluation through procurement and signature. Build pipeline among AI-focused companies, run technical pilots with founders and engineers, close complex deals, document the sales playbook, and provide feedback on product direction and pricing. The role requires hands-on selling of AI infrastructure or related technical platforms to engineering and enterprise buyers.

Analyze customer support workflows, identify automation opportunities, and build scalable AI-driven solutions. Optimize prompts, monitor integrations and APIs, troubleshoot workflow failures, and improve customer satisfaction. Lead cross-functional automation initiatives, drive adoption across support teams, manage an automation roadmap, and measure operational impact and ROI.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.

Lead applied AI initiatives from problem scoping and experimentation through production deployment. Build and fine-tune LLM, agentic AI, computer vision, NLP, and multimodal systems; establish MLOps workflows; evaluate model performance; and make trade-offs across accuracy, interpretability, latency, and cost. Partner with product and engineering teams, communicate technical decisions to stakeholders, and contribute to AI research rigor and technical direction.

Owns strategy, commercialization, customer engagements, and roadmap development for optical networking solutions supporting AI connectivity across DCI, metro, and long-haul networks. Builds customer-specific architectures and business cases, translates requirements into product specifications and roadmap priorities, and engages CSP technology, strategy, finance, sales, engineering, and executive stakeholders. Requires deep optical and IP networking expertise, AI workload networking experience, commercial judgment, and approximately 25% North American travel.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Design, deploy, and improve AI agents that automate software development workflows across CorelDRAW’s large C++ codebase. Build integrations with development tools, CI/CD systems, Gerrit, and issue tracking; develop retrieval and context strategies; evaluate agent quality; establish security guardrails; and contribute to CorelDRAW features in C++. Mentor developers and promote effective agent adoption.

Drive the product vision for Modular's cloud compute platform, collaborating with teams to enhance AI service capabilities and customer engagement.