Top AI Jobs in Ottawa

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Design, build, and scale production-grade agentic workflows and AI applications. Develop AI agents using TypeScript, LangChain, LangGraph, and LLMs; build Java REST services; integrate APIs and distributed data platforms; and establish practices for prompt evaluation, reliability, guardrails, observability, and performance. Collaborate on architecture and ambiguous product requirements, optimize AI workload costs and reliability, mentor junior developers, and contribute to technical direction.

Own B2B technical content and organic distribution across SEO, AI search, and LinkedIn. Write authoritative pillar pages, optimize content for traditional and generative search, ghostwrite executive thought leadership, repurpose technical guides into social assets, maintain brand voice, collaborate with technical teams, and analyze rankings and AI citations. The role requires deep technical writing, basic Airtable knowledge, relational database understanding, and familiarity with SEO, GEO, analytics, and marketing tools.

Teach a 3-credit in‑person course on integrating AI into organizations for executives, covering AI business models, strategies, workflows, prompts, governance, responsible AI, ethics, and leadership/organizational transformation. Deliver lectures, engage senior managers, and apply practical examples; course meets across January–April.

Design and evaluate high-difficulty consulting scenarios to train and test advanced AI systems. Create gold-standard solutions, build and assess business cases, review AI outputs for analytical rigor and executive quality, calibrate contributors' work, identify edge cases, and escalate complex rubric issues. Contractor role for a 9-week, full-time assignment.

The Senior AI Platform Engineer will build and scale an AI procurement platform by developing backend services, integrating AI workflows, and creating user-friendly interfaces.

Lead client relationships for major entertainment brands, translate creative vision into briefs and social campaigns, use AI-first tools and agentic workflows to plan, coordinate, review, and improve work. Protect quality, surface risks and opportunities, and encode reusable workflows. Drive account growth through strategic judgment, clear communication, and operational excellence.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal AI Solutions Consultant will develop AI-powered automations and MVP solutions, delivering production-ready work within 6-8 weeks, focusing on healthcare operations.

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

The Business Development Manager will drive sales growth for the Revenue Insight platform in the Asia-Pacific region, focusing on client acquisition, relationship management, and strategic market planning in the hospitality sector.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

Lead budgeting, forecasting, and variance analysis while building AI-driven financial models, scenario planning, KPIs, and dashboards. Automate FP&A processes, deliver insights to senior leaders, and collaborate with cross-functional teams to improve forecast accuracy and strategic decision-making.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

Lead modernization of month-end and year-end close processes using AI and automation. Prepare, review, and validate journal entries, accruals, and financial statements. Implement anomaly detection, automated reconciliations, variance analysis, and predictive insights. Collaborate with data teams to structure finance data for ML use cases and design audit-ready, scalable reporting workflows.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Design realistic, specialty-specific clinical case scenarios and gold-standard attending-level responses, evaluate and grade AI-generated outputs using structured rubrics, provide detailed written feedback to improve model clinical reasoning, and participate in onboarding, calibration, and review sessions in a fully remote, asynchronous contractor role (~20 hours/week).

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Manage and optimize end-to-end account reconciliations, intercompany eliminations, and chart-of-accounts governance. Identify discrepancies, perform variance analysis, and implement AI-driven automation and anomaly detection to reduce manual effort and accelerate close. Collaborate with cross-functional teams to resolve mismatches and improve financial data quality and reporting accuracy.

Design and implement AI/NLP solutions to automate insurance policy administration (issuance, endorsements, renewals). Translate policy language into models and rule engines, integrate with PAS, ensure regulatory compliance, monitor model performance, and support underwriting, operations, and exception handling.

Lead AI-enabled financial planning and strategic analysis, build data-backed business cases, refine unit economics, deliver executive-level insights, integrate ML into FP&A, and track KPIs to drive profitability and strategic decisions.

Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.