Top AI Jobs in Ottawa

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Develop and enhance configurable SaaS and enterprise software platforms in Java and .NET environments. Responsibilities include analysis, design, software development, collaboration with product owners, and participation in an Agile/Scrum team. The role may involve cloud mobility, data visualization, and artificial intelligence technologies, requiring strong problem-solving, independent work, collaboration, and the ability to learn new concepts quickly.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

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.

Leads organizational and operational change strategies for Microsoft technology and AI implementations. Responsibilities include assessing readiness, aligning executives and stakeholders, developing adoption, communication, training, feedback, and sustainment plans, measuring business value and ROI, mentoring change teams, and supporting consulting scope, presales, and delivery coordination.

Leads Medavie’s enterprise data, analytics, and AI strategy and program governance. Defines the multi-year roadmap, strategic guardrails, portfolio priorities, governance forums, decision rights, reporting, metrics, and value-realization practices. Partners with executives, business lines, IT, risk, privacy, and legal teams to align investments, manage strategic risks, promote responsible AI, and advance data and AI literacy across the organization.

Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.

Develop custom web applications, data-processing automation, and third-party API integrations for clients. Consult with customers, identify innovative solutions, provide project updates, document implementations, improve development standards, and build reusable tools. The role requires front-end, back-end, or full-stack development experience, strong JavaScript/TypeScript, Node.js, Angular, SQL, reactive programming, REST API, and AI-assisted development skills. Fluency in French and English is required.

The Legal Technology and AI Attorney applies restructuring expertise to identify, evaluate, and implement AI-enabled tools, automation, knowledge resources, and technology-supported workflows. The role develops templates, playbooks, guidance, and practice-support systems; pilots emerging technologies; trains attorneys and staff; and collaborates with legal, technology, research, and administrative teams to improve efficiency, consistency, and scalability in restructuring matters.

Supports litigation teams by evaluating, configuring, and implementing AI and legal technology workflows. Develops prompts, AI-assisted research and drafting processes, litigation analytics solutions, governance frameworks, training materials, and best practices. Collaborates with attorneys, IT, Information Security, and Knowledge Management to improve document analysis, legal research, case preparation, and technology adoption.

Attorney supporting the intersection of technology, AI, and legal practice. Responsibilities include identifying AI and automation opportunities, evaluating and implementing legal technology tools, designing workflows, maintaining knowledge assets, analyzing legal work product, training attorneys and staff, and advising Tech & Innovation lawyers. The role requires at least four years of technology-focused legal experience, bar admission, strong communication skills, and an interest in workflow design, tool development, or process improvement.

Leads presales activities for insurance software and geospatial analytics solutions, including customer discovery, requirements analysis, personalized demonstrations, presentations, proposals, RFP/RFI responses, and competitive materials. Partners with sales, product marketing, cloud operations, and professional services teams. Advises customers on cloud migration and integration requirements, supports implementation transitions, and presents at industry events. Requires substantial insurance-sector expertise, strong communication skills, AI enablement experience, and travel up to 50%.

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.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, content discovery, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, and implementation standards. Define platform-level goals, analyze outcomes through cohort testing and causal measurement, and report organic performance and client impact to leadership.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Leads the enterprise IT function across Canada, setting technology strategy, modernizing applications and platforms, advancing AI and automation, and strengthening cybersecurity, infrastructure, and IT controls. Oversees technology roadmaps, budgets, vendors, service management, governance, and portfolio rationalization while partnering with executive stakeholders. Manages IT leaders and develops talent, ensuring technology investments support business growth, operational excellence, security, and digital transformation.

Provide high-judgment executive support to three leaders, including two co-founders. Manage calendars, communications, travel, logistics, expenses, relationship tracking, meeting preparation, and confidential information. Improve leadership operating systems, information flow, decision follow-through, and selected operational projects. The role requires exceptional prioritization, discretion, anticipation, organization, and the ability to use AI to increase leverage while supporting a frontier science and engineering organization.

Lead technical sales engagements for enterprise customers across Zoom’s UCaaS platform. Responsibilities include technical discovery, solution design, custom demonstrations, proofs of concept, executive presentations, RFP/RFQ support, competitive analysis, and translating customer needs into product recommendations. The role partners with enterprise account executives, product managers, and engineering teams while advocating for customers and showcasing cloud, collaboration, communications, and AI solutions.

Lead the vision, architecture, and standards for Twilio’s enterprise AI/ML platforms and products. Guide large-scale system design, solve complex engineering problems, establish best practices, mentor senior technical leaders, and collaborate across business functions. Partner with product, engineering, program, design, and executive teams to develop scalable AI solutions, drive cross-organizational initiatives, and present technical strategies and deliverables to executive leadership.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Supports client delivery for AI-powered insurance solutions by facilitating discovery workshops, translating business needs into requirements and user stories, designing workflows, analyzing product performance, and leading testing and UAT. The role collaborates with engineering and product teams, identifies integrations and risks, validates AI outputs, and drives continuous improvement through analytical reporting and AI-assisted process optimization.