Top AI Jobs in Ottawa

Build and operate Python-based, multi-agent AI backend systems for go-to-market workflows. Design model-agnostic LLM architectures, tool-use patterns, integrations, observability, evaluation infrastructure, and production services deployed on Kubernetes. Own systems end-to-end, including architecture, deployment, reliability, experimentation, debugging, and incident resolution across CRM, enrichment, outreach, and communication platforms.

Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.

Leads architecture for Fortive’s HR technology ecosystem, including Oracle HCM, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and enterprise integrations. Defines API-first integration strategies, data governance, security standards, and modernization roadmaps. Designs and deploys AI, automation, NLP, and chatbot capabilities for HR workflows. Advises HR and IT stakeholders, guides vendors and technical teams, and mentors integration developers while ensuring compliance, data quality, and scalable platform architecture.

Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.

Own technical SEO, answer-engine optimization, AI/LLM visibility, and organic social media for a B2B technology brand. Develop search and topic strategies, measure visibility across AI assistants, manage social channels and campaigns, identify content gaps, and improve organic engagement, form fills, MQLs, opportunities, and revenue attribution. Collaborate with content, product marketing, communications, and operations teams while continuously testing and optimizing performance.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Lead the Agentic AI Lab’s full-cycle research agenda, including model and training design, data, evaluation, benchmarking, deployment, and publication. Train specialized enterprise models, define rigorous evaluation gates, move research from public benchmarks to customer shadow deployments, and build a small multidisciplinary team. The role partners closely with founders and platform engineers while establishing research direction, documenting technical decisions, and mentoring engineers into researchers.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Lead and own the end-to-end Registry design experience, set vision and KPIs, hire and develop a small design team, use AI-native workflows to prototype and ship cross-platform consumer products, partner with PMs/engineers/analytics, and scale design systems and processes to drive measurable business impact.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.

Build and deploy AI agents that automate internal business processes. Responsibilities include authoring reusable agent skills, integrating systems through MCP, creating evaluation sets, deploying production workflows with permissions and audit trails, and partnering with data engineers. The role requires translating business processes into reliable agent workflows, supporting deployed agents, and maintaining operational quality using Python, SQL, Git, CI, and containers.

Own clinical quality for member-facing AI products by partnering with product, engineering, and clinical teams. Design clinical AI evaluations, define quality thresholds and rubrics, assess accuracy, omissions, hallucinations, medication-safety risks, and translate clinical reasoning into prompts and decision logic. Monitor evolving evidence and standards of care, validate product launches, and communicate findings to technical and clinical audiences.

Coordinates the AI Accountability Network’s newsletters, training programs, grants, fellowships, payments, events, communications, and community initiatives. Manages editorial workflows, contractors, applications, logistics, websites, listservs, dashboards, metrics, and stakeholder communications. Supports grant administration, funder reporting, travel, curriculum development, and website publishing while improving processes and tracking program impact.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Join Welo Data’s Canadian French contributor network for potential remote AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s French AI Trainers Network as a flexible contributor supporting annotation, evaluation, and prompt creation projects. Contributors may label text, images, or audio; assess search results, advertisements, and chatbot responses; create prompts for large language models; and ensure cultural and linguistic accuracy. This is a talent community rather than an active opening, with project details and compensation provided when assignments become available.

The Creative Editor role focuses on producing high-converting video and static ads for performance-driven campaigns. Responsibilities include editing ads, creating variations for testing, leveraging AI tools, and collaborating with the growth team to improve ad effectiveness.

Lead the end-to-end product experience across acquisition, onboarding, avatar selection, chat, media generation, and retention. Drive conversion, retention, and LTV through hypotheses, prioritization, A/B testing, and data-informed design. Establish the product’s design direction and design system, lead a multidisciplinary design team, and partner with product, analytics, marketing, engineering, research, and support.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

Leads AI-powered content strategy, governance, information architecture, conversational design, and content ecosystem development for enterprise clients. Defines taxonomies, dialogue flows, guardrails, golden queries, AI content pipelines, and human-review frameworks. Partners with design, product, and engineering teams to deploy and optimize chatbot, voice, and agentic experiences. Serves as a senior client advisor, leads multidisciplinary engagements, and supports account growth and proposals.

Build and deploy AI-powered features for internet-scale threat intelligence workflows. Develop and fine-tune LLMs, RAG pipelines, vector search, and AI-driven analytics to summarize findings and automate investigations. Create secure, context-aware user experiences while evaluating model performance with RAGAS, LangSmith, and regression testing. Collaborate with product, frontend, data engineering, and other teams to deliver low-latency, reliable AI capabilities.