Top AI Jobs in Ottawa

Leads operational and customer-facing functions across lending and credit union services. Establishes performance standards, manages operational data, resolves escalations, improves workflows, implements automation, oversees vendors, and strengthens controls. Leads managers and distributed teams, manages budgets and workforce capacity, partners cross-functionally on technology initiatives, and ensures priorities translate into measurable, sustained execution.

Develop graduate-level Applied AI course materials, including lessons, labs, case studies, assignments, rubrics, projects, glossaries, templates, and worked examples. Design practical activities using LLMs, RAG, AI agents, automation, APIs, and evaluation tools. Curate research and standards, support learners with limited technical backgrounds, collaborate with learning designers and university faculty, revise content based on academic feedback, and keep materials current with evolving AI tools and regulations.

Develop AI/ML strategy and production software for a healthcare data platform. Design architectures, implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code; conduct reviews and pair programming; collaborate with clients and product teams; mentor developers; and contribute to technical strategy and Agile delivery.

Leads global talent development programs from needs assessment and instructional design through facilitation, measurement, and optimization. Advises HR leaders on capability gaps, defines learning strategy, applies AI and learning science, manages learning technology vendors, and drives adoption, engagement, and internal mobility across a global workforce.

Own end-to-end go-to-market strategy and execution for B2B and B2C clients, including customer research, positioning, messaging, content, paid and email campaigns, measurement, reporting, sales alignment, and campaign concepting. The role requires hands-on delivery, executive presentations, independent work across concurrent projects, and effective use of AI for research, testing, and content production.

Researches funding opportunities and writes, reviews, and manages grant applications for nonprofit partners. The role requires translating complex program information into persuasive funder narratives, using AI tools thoughtfully, maintaining accuracy and deadlines, managing relationships with 25–30 partners, and improving scalable grant-support processes.

Own product vision, strategy, backlog, and prioritization while aligning stakeholders, development teams, and end users. Translate business requirements into user stories, collaborate with engineering and UX teams, support Agile delivery, analyze product and user data, and contribute to launches and go-to-market planning. The role focuses on products involving data analytics and artificial intelligence and requires eligibility for Canadian export-controlled information access and an Enhanced Reliability clearance.

Lead AI- and data-driven business transformation for North American enterprise customers. Own value realization from discovery through ROI across finance, supply chain, order-to-cash, procure-to-pay, inventory, and related processes. Manage complex transformation programs, executive stakeholders, governance, change management, and strategic roadmaps while using Celonis and AI tools to accelerate technical outputs, automate project management, and drive platform adoption.

Own end-to-end delivery of applied AI deployments for financial-services clients, from discovery through production and sustained adoption. Lead cross-functional teams, manage priorities and risks, define product requirements, drive organizational change, measure customer value, maintain senior client relationships, and identify account expansion opportunities. Build prototypes, evaluate AI outputs, advise on technical trade-offs, and help develop reusable deployment practices.

Conduct consumer research supporting product innovation and development across multiple self-care brands. Design and execute qualitative and quantitative studies, product testing, benchmarking, claims validation, and learning plans. Apply design thinking, data science, advanced analytics, AI, and digital research tools to understand consumer needs. Analyze and visualize findings, communicate actionable recommendations, and collaborate with Marketing, Insights, Design, Formulation, and R&D teams while maintaining ethical and quality standards.

Supervises implementation activities, teams, schedules, resources, risks, deliverables, testing, training, and change management. Leads AI adoption efforts in healthcare, evaluates outcomes, develops workflows and playbooks, coordinates stakeholders and vendors, resolves issues, tracks progress, ensures compliance, and recommends process improvements. Provides staff coaching and supports operational readiness and successful project handoffs.

Build Tungsten’s sales motion from the ground up by generating pipeline, managing complex B2B software deals through close, expanding existing accounts, and developing repeatable ICP, messaging, pricing, qualification, and sales processes. The role partners closely with founders and engineering, translates customer needs into product opportunities, and navigates enterprise procurement, legal, security, and stakeholder alignment.

Leads Waabi’s earned media, executive communications, internal communications, thought leadership, and communications agency relationship. Develops accurate narratives across technology, logistics, transportation, and business media; supports executive visibility; maintains external messaging guardrails; and builds the foundation for a future communications team.

Build production agentic AI capabilities focused on monitoring, guardrails, evaluation, security, collaboration, and ROI. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and deliver production-ready code while exploring emerging agentic technologies and AI security techniques.

Lead a small team developing secure, reliable agentic AI capabilities. Responsibilities include building agent monitoring, guardrails, evaluation frameworks, and collaboration tools; performing machine learning tasks such as exploratory data analysis, feature engineering, and fine-tuning; translating research into production features; contributing code and technical designs; and mentoring engineers while setting technical direction.

Leads Insurity’s enterprise cybersecurity, information security, privacy, HIPAA, AI governance, risk, compliance, and incident response programs. The CISO sets security strategy, advises executives and the Board, oversees cloud and application security, manages audits and third-party risk, directs major incidents, protects regulated data, and builds a scalable security organization. The role also embeds security into product development, DevOps, AI adoption, customer assurance, and business operations.

Leads full-cycle recruitment for commercial roles through sourcing, interviewing, negotiation, and closing. Manages candidate pipelines in Greenhouse, partners with hiring managers, provides recruitment reporting and insights, resolves process issues, supports diversity and inclusion, and improves candidate experience and hiring practices. Handles multiple requisitions while maintaining candidate engagement and stakeholder alignment.

Leads global total rewards strategy and an eight-person team across compensation, equity, benefits, retirement, executive compensation, job architecture, pay equity, governance, and HR technology. Advises executives, boards, and Compensation Committees; oversees scalable programs, international expansion, audits, acquisitions, and public-company readiness. Partners with Finance, Legal, and external advisors while advancing analytics, automation, AI, and platforms such as Pave.

Lead end-to-end executive and leadership recruiting across business and technology functions, including talent mapping, sourcing, stakeholder partnership, hiring strategy, offer negotiation, and closure. Mentor recruiters, monitor pipelines and hiring metrics, and develop talent strategies for data science, analytics, data engineering, and machine learning roles. The position partners with senior business leaders and supports recruiting growth in a global analytics consulting environment.

Own the roadmap for Maestro, nesto’s AI mortgage platform. Translate complex lending workflows into PRDs, decision logic, metrics, and shipped products. Collaborate with machine learning, engineering, underwriting operations, and business stakeholders. Improve throughput, decision speed, accuracy, and operational capacity while creating feedback loops between AI outputs and expert judgment. The role requires strong structured thinking, communication, execution in ambiguity, and active use of AI tools throughout the product lifecycle.

Own the strategy, roadmap, and business results for organic discovery and AI visibility across thousands of real estate websites. Partner with engineering, design, sales, marketing, and client success to build SEO and AI-search capabilities, improve technical foundations, measure citations and visibility, validate results through testing, and scale successful changes. The role requires strong customer empathy, business accountability, technical SEO expertise, product leadership, and experience shipping products for nontechnical customers.

Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.

Analyze the customer lifecycle across activation, engagement, retention, expansion, and renewal for a product-led SaaS business. Partner with Customer Success, Product, Growth, RevOps, and Data Engineering to develop analytical frameworks, identify growth opportunities, evaluate experiments, and provide actionable recommendations to senior leaders. Build data foundations and standards supporting digital success, AI, automation, forecasting, anomaly detection, and generative BI.

Conduct independent research on machine learning, knowledge representation, formal methods, AI agents, and trustworthy AI systems. Develop algorithms, models, prototypes, benchmarks, and rigorous experiments for enterprise-scale applications. Collaborate with scientists, engineers, and domain experts to translate operational constraints into deployable research systems. Evaluate reliability, robustness, privacy, interpretability, latency, cost, and process outcomes, while communicating findings through publications and internal or external presentations.

Define and scale CoLab’s supplier ecosystem go-to-market strategy across OEMs, Tier 1 suppliers, and Tier 2 suppliers. Package and price the supplier motion, map supply networks, develop value cases, enable prospecting and customer success teams, and support strategic deals. Lead executive workshops, coach account teams, identify supplier-sourced opportunities, track activation and pipeline metrics, and translate market signals into product feedback. The role is remote-friendly in Eastern or Central time zones and includes frequent customer travel.