Top AI Jobs in Ottawa

Lead operational rhythms and client delivery, focusing on AI solutions. Collaborate with executives and manage multi-stakeholder projects for positive outcomes.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.

Design, build, and deploy production-grade AI-powered backend systems. Integrate LLMs, vector databases, and task-specific ML models into scalable, low-latency architectures. Implement background processing, performance tuning, testing, monitoring, and error reporting. Debug cross-layer issues and collaborate with product and frontend teams to deliver reliable AI-driven features.

Lead the design and delivery of an end-to-end AI system layer across the product: agentic workflows, orchestration, evaluation, guardrails, observability, and developer platform. Build and grow a multi-team org, partner with Product and Design, define how AI decisions flow across cross-product context, and ensure reliable, measurable, and safe autonomous behaviors that proactively help small-business users.

The Principal Business Consultant, AI will lead projects, consult with clients on AI solutions, and improve business processes, ensuring optimal software adoption and utilization.

Lead product and strategy operations for a large engineering department: own OKR/QBR cycles, roadmaps, weekly execution alignment, centralize artifacts, transform workflows to AI-native, coordinate cross-functional intake, flag risks, and drive high-priority cross-functional projects from inception to launch.

The Senior AI Solutions Engineer will architect and deploy AI systems on Google Cloud, collaborating with clients and delivery teams to create enterprise-ready solutions.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

The Staff Product Manager, AI will lead the development of a new AI-native product for enhancing grid resilience, focusing on customer needs and product iteration from initial concept to market release.

Own and engineer Life360's enterprise identity platform: architect SSO, lifecycle workflows, MFA, group provisioning in IaC, automate access governance, device trust, and consolidate legacy identity. Build IAM KPIs, codify provisioning in Terraform, integrate with HR and access-request tooling, and use AI coding agents to draft and validate infrastructure and policy changes.

Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.

This role involves developing strategies for electrical hardware design, consulting on new product development, mentoring junior staff, and leading innovative projects in HPC and AI systems.

Build production AI agents, LLM apps, RAG and retrieval-based systems, tool-calling and automations for fintech workflows (onboarding, KYC, risk, CRM). Ship, evaluate, and improve reliable AI-enabled systems with product and engineering teams, addressing latency, cost, security and compliance.

Lead high-volume outbound prospecting, run discovery calls, qualify and manage high-ticket opportunities through the full sales cycle, book and conduct meetings, handle objections, collaborate with founders/sales leadership, and consistently meet outreach, meeting, and revenue KPIs.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Lead development of agentic AI features and shared platform components for a multi-tenant SaaS finance platform. Design LLM orchestration, CI/CD, deployment pipelines, observability, scalable background processing, ingestion and search systems, and PostgreSQL optimization. Drive technical vision, mentor engineers, and deliver production-grade, secure, and observable AI-first solutions end-to-end.

Hunt and develop new AI consulting opportunities across North America. Source, qualify, and manage pipeline, conduct outreach and discovery, partner with leadership to close deals, and travel for client meetings (approx. 40%).

Hunter-oriented business development role focused on sourcing and qualifying new AI consulting opportunities across North America. Build and manage a multi-vertical pipeline, perform outbound prospecting, coordinate discovery calls, partner with leadership to close deals, and attend industry events. Travel expected ~40% for client meetings and conferences.

Lead design and implementation of production-grade multi-agent AI frameworks and orchestration. Integrate and optimize LLM workflows, build AI developer tooling, establish benchmarking and evaluation for agent reliability, mentor engineers, and set architecture and performance standards for scalable autonomous capabilities.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.