Top AI Jobs in Ottawa

Leads a global product engineering organization responsible for 5G feature, parity, quality, and time-to-market objectives. Aligns R&D, product lines, customers, suppliers, and strategic partners around technical priorities. Drives transformation through AI-enabled development practices, concurrent development, process simplification, and continuous improvement. Develops technical leaders and teams while improving customer satisfaction and addressing RAN product challenges.

Leads Ericsson’s North American 6G baseband software development organization within RAN Performance. Owns feature and architecture development, quality, time to market, and customer satisfaction. Drives AI-enabled transformation, aligns global R&D, product, customer, supplier, and partner priorities, and develops leaders and technical capabilities across an international engineering organization. Requires extensive global software engineering leadership, strong RAN technology and architecture knowledge, stakeholder management, and a track record of transformation and continuous improvement.

Artificial Intelligence Engineering Intern supporting Honeywell Aerospace’s SATCOM software development team. The intern will identify, assess, and implement AI initiatives for development processes and SATCOM products, manage assigned pursuits, report project metrics and status, and collaborate with multidisciplinary teams. The role is on-site in Kanata, Ontario and requires eligibility for Controlled Goods Program and Contract Security Program clearances.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Lead a high-volume Scale Customer Success team serving mid-market and large commercial customers. Build segmentation strategies, digital and AI-driven engagement programs, playbooks, and lifecycle workflows to improve retention, expansion, adoption, and CSM productivity. Hire and develop CSMs, manage risk using data, collaborate with Sales and cross-functional teams, and personally handle critical customer escalations.

Design, deploy, and scale Agentic AI solutions for software testing across Ericsson’s 5G and 6G RAN platforms. Develop AI agents for test analysis, test selection, and test generation; operate cloud-based AI systems; assess feature impacts and testing risks; optimize environments and pipelines; and promote effective AI-enabled testing across development teams.

Build AI-powered solutions for system verification and engineering workflows using Generative AI, LLMs, RAG, and agentic AI. Integrate AI tools with engineering systems, analyze testing and quality data, support proof-of-concepts, and create dashboards and visualizations. Collaborate with verification engineers, test managers, and software developers to improve automation, engineering productivity, and product quality.

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.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

The UX Designer will lead user experience and interface design across custom software projects, from client needs analysis through prototyping. Responsibilities include advising clients, owning project design, creating mobile and responsive application experiences, improving design processes in an agentic AI context, and supporting development teams. The role requires strong Figma expertise, client communication skills, problem-solving ability, adaptability, and bilingual French-English communication.

Tenure-track Assistant Professor researching digital transformation, artificial intelligence, and education. Responsibilities include developing externally funded research, teaching undergraduate and graduate courses, supervising graduate students, collaborating across disciplines, and providing academic service. The role emphasizes computational methods, educational data, learning analytics, digital and AI literacies, ethical AI, and AI-enabled learning environments. Candidates must hold a Ph.D. or equivalent, demonstrate an excellent research record, teach in interdisciplinary settings, and support hybrid and online instruction.

Leads cross-functional business systems initiatives from discovery through implementation and adoption. Partners with business teams, IT, vendors, and stakeholders to gather requirements, improve processes, manage CRM, PLM, ERP, and other technology initiatives, coordinate projects, mitigate risks, and drive organizational change. Develops roadmaps, prioritizes improvements, supports integrations and upgrades, and ensures teams adopt solutions and realize intended business value.

Leads full-cycle recruitment for technical and non-technical roles, including stakeholder partnership, market analysis, headhunting, candidate screening, interview coordination, offer negotiation, and talent pipeline development. Uses recruitment technology, AI tools, applicant tracking systems, and metrics to improve sourcing and hiring efficiency. Supports employer branding, workforce planning, junior staff development, and confidential HR processes while managing multiple recruiting initiatives.

Lead adoption of AI across software development, testing, deployment, and application support. Design AI-enabled solutions integrating Microsoft Azure, Dynamics 365, Power Platform, APIs, and cloud architectures. Prototype generative AI and agent technologies, establish reusable engineering patterns, assess security and reliability, and provide technical guidance and knowledge transfer to Agile/Scrum teams.

Teach a university course on affective and persuasive computing. Responsibilities involve presenting concepts in affective computing, AI, machine learning, human-computer interaction, emotion recognition, multimodal data processing, persuasive technology, and intelligent interactive systems. The role requires expertise in deep learning, physiological signals, facial expressions, speech, text, multimodal fusion, and related applications, with potential emphasis on serious games, virtual reality, and digital health.

Lead the design and implementation of AI products for edge devices, optimizing machine learning models under edge-compute constraints. Work with petabyte-scale sensor, video, text, diagnostic, transaction, and location data; collaborate with ML, firmware, hardware, and full-stack engineers; prototype new AI experiences; ship production systems at scale; and mentor ML engineers.

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.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.