Top AI Jobs in Ottawa

Build, deploy, and maintain AI-powered agents, APIs, and applications for People operations on Snowflake. Integrate Workday/Notion, ensure security and data governance, design multi-model LLM reliability, and own production lifecycle including CI/CD, monitoring, and incident response while working with non-technical stakeholders.

Lead product strategy and roadmap for Webflow's agentic AI surfaces (AI Assistant, MCP, Agent Instructions, and underlying AI platform). Define quality metrics, guardrails, and evaluations for non-deterministic agent experiences. Balance developer-focused APIs/platforms with approachable creator UX, work closely with engineering/design/data, prototype and ship features (including contributing code), and adapt strategy as AI models and protocols evolve.

Lead multi-year vision, strategy, and roadmap for Webflow's agent surfaces and AI platform. Align cross-functional teams, set quality standards and guardrails for non-deterministic agent experiences, serve both developers and creators, prototype and ship product improvements (including contributing code), and mentor PMs while measuring and iterating on outcomes.

Own the strategy, roadmap, and lifecycle for Assent’s B2B SaaS data network platform. Identify and prioritize market opportunities, develop business cases and requirements, lead discovery and delivery, and collaborate with Engineering, Data Science, Design, Sales, and Marketing. Drive AI-enabled product innovation, customer research, pilots, launches, pricing, adoption, and ongoing product health while navigating complex supply chain, compliance, sustainability, and regulatory requirements.

Design, develop and systemize AI/ML-enabled RAN functions for 5G/NR networks. Build and optimize ML models for real-time, resource-constrained telecom platforms, integrate prototypes into production RAN software, design experiments and validation strategies, and improve network performance through data-driven solutions and lifecycle best practices.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Manage and coordinate security projects and operations for the Corporate Security Office, supporting project lifecycle from planning to close-out. Provide data analysis, site inspections, hardware/software testing, security screenings, and policy/maintenance plan development while coordinating stakeholders and technical teams.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Leads Sigmoid’s insurance consulting practice, combining insurance-domain expertise with analytics, AI, and data transformation. Responsibilities include strategic account leadership, business development, client advisory, transformation roadmaps, solution oversight, thought leadership, and management of consultants and subject matter experts. The role translates insurance challenges across claims, underwriting, policy servicing, customer operations, distribution, and absence management into analytics and AI/ML solutions while driving executive stakeholder engagement and organizational adoption.

Drive adoption of Fireworks among strategic AI companies by leading technical discovery, customer evaluations, proofs of concept, onboarding, production deployments, and complex commercial negotiations. Build relationships with founders, ML engineers, infrastructure leaders, and executives; coordinate with Field Engineering, Applied AI, Product, and Research teams; identify prospects through networks and events; and manage customer partnerships from initial engagement through scaled production.

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Lead the enterprise readiness and platform modernization strategy for SaaS Manager. Own product strategy, roadmap, prioritization, customer discovery, technical architecture decisions, integrations, data ingestion, reliability, administration experiences, and responsible AI capabilities. Collaborate across Product, Engineering, Design, Security, Privacy, Analytics, and go-to-market teams to define milestones, measure outcomes, manage dependencies and risks, coordinate launches, and iterate based on customer feedback.

Define and execute Firefox Desktop search strategy across Windows, macOS, and Linux. Own search roadmaps, experimentation, engagement and revenue metrics, AI-powered search experiences, partner commitments, and cross-functional delivery. Balance user experience, privacy, technical constraints, and business outcomes while collaborating with Engineering, Design, Research, Data Science, and Business Development.

Designs, builds, deploys, and supports AI-powered tools and automated workflows for Finance operations. Develops data pipelines, reporting applications, workflow automation, interactive applications, and AI-assisted analysis tools. Collaborates with Finance and technical stakeholders to improve processes, data quality, and decision-making. Supports development standards, CI/CD, AI governance, data compliance, troubleshooting, and ongoing enhancements.

Provides insurance product expertise and leadership across underwriting, product design, policy administration systems, and change initiatives. Analyzes portfolio issues, develops underwriting and risk-selection solutions, coordinates requirements, identifies improvement opportunities, and supports AI-driven underwriting experience enhancements. The role requires collaboration with stakeholders, product prioritization, solution feasibility assessment, risk mitigation, and coaching colleagues in an agile environment.

Lead global sales enablement programs that drive measurable revenue by diagnosing performance gaps, creating role-based training and playbooks, aligning cross-functionally, and optimizing adoption through analytics and manager-led reinforcement.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Design stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and benchmarking; establish standards for RAG, prompting, context optimization, and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.