Top AI Jobs in Ottawa

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.

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.

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.

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.

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.

Designs end-to-end architectures and high-level designs for web security products and features, spanning configuration, reporting, runtime systems, analytics, and attack detection. Collaborates with product management and cross-functional teams to define requirements, guides engineering implementation, presents designs, and contributes security product expertise and technical roadmap direction.

Leads the Security Operations Centre's platform engineering, resilience, automation, AI, data pipeline, SIEM, XDR, and compliance capabilities. Develops the SOC modernization strategy, ensures platform availability, security, recoverability, data integrity, and auditability, and manages engineers and strategic vendors. The role partners with technology, identity, cloud security, compliance, audit, and executive teams to reduce cybersecurity risk and deliver reliable, scalable services across Canada.

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.

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.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Architects cloud-scale solutions and technical strategies for strategic Canadian customers, aligning business objectives with secure, resilient, scalable platforms. Advises executives and technical stakeholders, leads cross-functional initiatives, develops prototypes and pilots, supports cloud and AI adoption, and addresses data residency, sovereignty, privacy, and security requirements. Builds trusted customer relationships, influences product improvements, presents technical thought leadership, contributes to communities, and mentors technical teams across Canada.

Leads the design, delivery, and continuous improvement of a fellowship learning program. Responsibilities include setting curriculum strategy, overseeing instructional design, managing learning designers, facilitating workshops and events, coordinating cross-functional projects, managing budgets, and using research, data, and learner feedback to improve participant outcomes.

Own end-to-end product design for new B2C and internal AI products, from discovery and prototyping through launch and iteration. Lead zero-to-one design in ambiguous environments, shape non-deterministic user experiences, conduct research, influence product strategy, and partner closely with product, engineering, and leadership. Create visually rich, scalable experiences with strong UX, visual design, systems thinking, and craft.

Own the full sales cycle in Thailand, from prospecting and pipeline generation through closing and account expansion. Build territory plans, maintain pipeline coverage, forecast accurately, and meet quota through disciplined, value-based selling. Use AI sales tools and MEDDPICC-style qualification to advance opportunities, engage hospitality stakeholders, represent Lighthouse at industry events, and provide market feedback to Product. The role requires fluent English and Thai, strong business acumen, and 5–7 years of closing sales experience.

Owns Pfizer GH&B’s AI-ready Snowflake data warehouse, data architecture, ontologies, governance, quality, lineage, access controls, and production reliability. The role supports AI/ML models, dashboards, and business-critical data applications; establishes testing, release, monitoring, and incident processes; directs contingent technical resources; and aligns business-specific data decisions with enterprise standards. Requires strong SQL, Python, Collibra, data warehousing, unstructured-data architecture, ontology, governance, and stakeholder-influence experience.

Leads and scales Jobber’s credit risk function across payments and lending. Responsibilities include managing credit risk analysts, setting risk appetite and policy, overseeing underwriting, monitoring, collections, forecasting, provisioning, stress testing, and model governance. Partners with Data Science, Finance, Legal, Compliance, Product, and funding partners to build AI-enabled decisioning, automate operations, meet Canadian and U.S. requirements, manage vendors, and report portfolio performance to executives and risk committees.

Sell and expand adoption of FICO Platform solutions among large financial institutions and enterprise accounts. Build senior stakeholder relationships, identify decision-management opportunities, develop complex solution proposals with internal teams, and close multi-million-dollar SaaS deals. Advise clients across lending, fraud, collections, originations, and customer management while meeting quarterly and annual sales targets. Travel up to 50% to support client relationships.