Top AI Jobs in Ottawa

Designs and governs enterprise technology solutions spanning applications, data, infrastructure, cloud, and AI. Leads hybrid and cloud-native architecture using AWS and Azure, develops architecture strategies and roadmaps, evaluates emerging technologies, and guides complex transformation initiatives. Ensures solutions meet security, regulatory, resilience, and compliance requirements in financial services. Partners with executives, business stakeholders, product teams, and engineers while providing architectural governance, risk mitigation, and strategic technology leadership.

Lead analytics consulting engagements for enterprise clients by translating business challenges into AI and analytics solutions. Define agentic AI requirements, workflows, and outcomes; oversee end-to-end delivery; collaborate with technical and global teams; manage stakeholders and projects; apply statistical and machine learning techniques; and help operationalize solutions that deliver measurable business value.

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.

Own product-to-field marketing and enablement for Unified Access, SaaS Manager, and multi-product expansion. Develop cross-product narratives, sales materials, training, discovery guidance, and cross-sell strategies for enterprise buyers. Partner with Product, Engineering, Sales, Customer Success, Technical Marketing, and Demo Engineering; support strategic customer opportunities; coach sellers; and use field feedback, win-loss analysis, and customer insights to improve messaging, launches, and product decisions.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Leads a team of solution engineers advising customers on cloud and artificial intelligence adoption. Oversees end-to-end solution design, demonstrations, proof-of-concept activities, resource planning, coaching, and customer engagement quality. Acts as a trusted technical advisor, coordinates experts and partners, and contributes customer insights to global technology strategies and offerings. Requires extensive technical pre-sales or consulting experience, cloud architecture expertise, and people management experience.

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success ownership.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Build and deploy production-grade AI applications across front-end, back-end, and data workflows. Translate customer problems into product requirements, integrate AI models, optimize application performance and reliability, evaluate AI outputs, and iterate using customer feedback. The role supports impactful projects for government, healthcare, and industrial customers, with ownership across the full product lifecycle.

Leads consulting engagements for RIAs and independent wealth firms, managing project teams, advising senior clients on operating model and technology transformations, supporting business development, and developing wealth management capabilities. Responsibilities include strategy, technology modernization, advisor and client experience, investments, data, workflow, AI-enabled operating models, thought leadership, client relationship management, and mentoring consultants.

Own the full sales cycle for new and low-adoption hospitality customers, from outbound prospecting through close. Build territory plans, maintain pipeline coverage, forecast accurately, expand customers into full-platform accounts, and manage complex multi-stakeholder deals. Use AI-enabled sales tools and MEDDPICC-style qualification to improve execution. Develop hospitality expertise, sell on business value, collaborate with Customer Success and Product, and represent Lighthouse at industry events.

Owns the end-to-end creation of performance-driven advertising across TikTok, Meta, YouTube, CTV, and emerging channels. Responsibilities include concepting, scripting, producing, editing, and iterating video ads; translating performance data into creative direction; monitoring platform and cultural trends; directing agencies and production partners; and using AI tools to accelerate creative workflows. The role combines strong visual taste, hands-on production skills, brand-building, and performance marketing instincts.

Privacy and Regulatory Counsel will advise a technology company on U.S. and international privacy, consumer protection, regulatory, AI, cybersecurity, and emerging technology matters. Responsibilities include developing compliance and governance programs, interpreting regulations, advising business and product teams, negotiating commercial agreements, supporting responsible AI policies, and monitoring legislative developments. The role requires collaboration with cross-functional stakeholders and provides broader corporate legal support.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.

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.

Lead B2B performance marketing and demand generation for a sales-led growth strategy. Manage paid channels, optimize budgets and ROI, run experiments, analyze funnel and revenue metrics, and partner with campaign, analytics, marketing operations, and external vendor teams. The role focuses on generating qualified pipeline and revenue among enterprise and mid-market technical audiences.

Lead full-cycle sales for a digital marketing agency expanding beyond automotive and collision repair. Responsibilities include outbound prospecting, discovery, proposal development, closing high-value retainers, entering new verticals, maintaining HubSpot pipeline accuracy, collaborating with creative and performance teams, and using AI tools to improve prospecting and outreach.

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.

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.

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.