Senior Ai Enablement Engineer in Canada

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff Product Marketing Launch Operations Manager In this position, you’ll take our most strategic product releases through the go-to-market (GTM) lifecycle at one of the fastest-growing SaaS companies in the world—from ideation to adoption. The ideal candidate is a seasoned professional in the GTM launch process for newly developed products, features, and solutions. You thrive on implementing new processes and leading cross-functional teams towards a common goal with data-driven insights. You naturally pivot between strategic objectives and project tactics with clear communication to achieve alignment. The ideal candidate has a track record of excellence in launch and post-launch execution, elevating their teams, and thriving in a fast-paced environment. Responsibilities: GTM Launch Readiness: Successfully lead GTM (Marketing, Enablement, Product) teams through key launch readiness milestones. Manage stakeholder alignment, timely program execution, and leadership reporting. GTM Strategy & Governance (before and after launch): Evolve Okta’s launch process by streamlining process efficiencies, evolving standardized playbooks, and developing relationships with key executive and senior leadership stakeholders. Performance Reporting: Support GTM Launch Ops & Strategy team to successfully review and drive growth through data-driven launch insights. Provide key recommendations to optimize incremental launch marketing strategy, and suppor

Position Overview: The Services team has unrivalled expertise across corporate governance, audit, risk, compliance, and regulatory environments in many sectors. They have the scale and reach to deliver significant change smoothly, leveraging solution design and delivery to provide global, dynamic, flexible, and reliable outcomes with lasting results. Their vision is to partner as trusted advisors, working in joint teams that complement client strengths with the right mix of talent. A Delivery Analyst is an early‑career consultant in the Services team who supports delivery of audit, risk, and compliance solutions for clients. They assist with discovery and requirements capture by reviewing client documentation and helping lead discovery workshops to understand current processes and needs. Guided by senior advisors, they translate requirements into technical design documents, configure and iterate Diligent One prototypes, deliver enablement training, maintain issue logs, and follow the standard project methodology to deliver on time and in scope. Key Responsibilities Utilize your product and domain expertise to deliver customer requests and create a delightful customer experience. Be responsible for the timely and quality delivery of the services requested by customers. Collaborate with Customer Success Managers, Senior Managers and Managers to ensure any new service requests are handled appropriately or routed the request to the correct teams. Document and maintain the standard operating procedures for performing the customer-specific request. Consult with the global implementation teams and customer success teams to provide technical guidance to the customer to leverage more value from the product. Required Experience/Skills Ability to effectively engage customer per

Location : Montréal, QC. Mode hybride, 3 jours par semaine au bureau/ Hybrid, 3 days per week in-office. *English Version to Follow À propos du rôle : Nous sommes à la recherche d’un(e) Recruteur(se) principal(e) francophone, hautement organisé(e) et axé(e) sur les détails, pour se joindre à notre équipe. Le ou la candidat(e) idéal(e) devra démontrer une expérience en sourcing de candidats et en recrutement complet (cycle complet). Cette personne sera responsable de soutenir les candidats à travers les différentes étapes du processus d’acquisition de talents. Ce rôle exige de fortes compétences organisationnelles ainsi que la capacité de gérer plusieurs tâches simultanément. La collaboration et l’esprit d’équipe, combinés à d’excellentes aptitudes en coordination, sont essentiels pour réussir dans ce poste. À titre de Cadre principal en acquisition de talents, vous serez également responsable d’accompagner et de mentor(er) les membres juniors de l’équipe Talent. L’équipe d’acquisition de talents est responsable du sourcing, du tri, du recrutement, de la sélection, ainsi que de l’apprentissage et du développement de talents juniors destinés à la clientèle d’mthree dans les secteurs des services financiers et commerciaux. Les personnes postulant à ce poste devront être en mesure de gérer divers besoins en recrutement au sein de notre clientèle interne, couvrant un grand nombre de régions géographiques en Amérique du Nord, incluant les États-Unis et le Canada. Vous serez responsable de susciter l’intérêt pour les programmes d’mthree tout en recrutant des candidats de haute qualité et hautement diversifiés pour des postes chez nos clients. Responsabilités : Assurer la livraison constante de candidats diversifiés, de haute qualité et rapidement disponibles pour l’offre mondiale Alumni d’mthree. Gérer le recrutement de bout en bout pour des rôles de niveau junior à intermédiaire/sénior, selon les besoins. Sourcer, présélectionner et évaluer les candidats pour nos clients

Location : Montréal, QC. Mode hybride, 3 jours par semaine au bureau/ Hybrid, 3 days per week in-office. *English Version to Follow À propos du rôle : Nous sommes à la recherche d’un(e) Recruteur(se) principal(e) francophone, hautement organisé(e) et axé(e) sur les détails, pour se joindre à notre équipe. Le ou la candidat(e) idéal(e) devra démontrer une expérience en sourcing de candidats et en recrutement complet (cycle complet). Cette personne sera responsable de soutenir les candidats à travers les différentes étapes du processus d’acquisition de talents. Ce rôle exige de fortes compétences organisationnelles ainsi que la capacité de gérer plusieurs tâches simultanément. La collaboration et l’esprit d’équipe, combinés à d’excellentes aptitudes en coordination, sont essentiels pour réussir dans ce poste. À titre de Cadre principal en acquisition de talents, vous serez également responsable d’accompagner et de mentor(er) les membres juniors de l’équipe Talent. L’équipe d’acquisition de talents est responsable du sourcing, du tri, du recrutement, de la sélection, ainsi que de l’apprentissage et du développement de talents juniors destinés à la clientèle d’mthree dans les secteurs des services financiers et commerciaux. Les personnes postulant à ce poste devront être en mesure de gérer divers besoins en recrutement au sein de notre clientèle interne, couvrant un grand nombre de régions géographiques en Amérique du Nord, incluant les États-Unis et le Canada. Vous serez responsable de susciter l’intérêt pour les programmes d’mthree tout en recrutant des candidats de haute qualité et hautement diversifiés pour des postes chez nos clients. Responsabilités : Assurer la livraison constante de candidats diversifiés, de haute qualité et rapidement disponibles pour l’offre mondiale Alumni d’mthree. Gérer le recrutement de bout en bout pour des rôles de niveau junior à intermédiaire/sénior, selon les besoins. Sourcer, présélectionner et évaluer les candidats pour nos clients

Chez Lyft, notre mission est de servir et de connecter. Nous y parvenons en favorisant un environnement de travail où chacun trouve sa place et a la possibilité de s'épanouir. Lyft connecte les gens aux transports pour transformer notre façon de vivre et de nous déplacer dans nos communautés. Solution Urbaines de Lyft (LUS) est le leader nord-américain de la micromobilité. Nous possédons, exploitons ou fournissons des solutions matérielles et logicielles pour les programmes de vélos et de trottinettes en libre-service dans plus de 57 marchés à travers le monde, notamment à Montréal, Londres, New York, Mexico et bien d'autres villes. Notre flotte en pleine expansion comprend des stations de recharge ultramodernes, des vélos et des trottinettes électriques, et assure des centaines de millions de trajets par an. L'équipe de conception de produits matériels et industriels de LUS est chargée de concevoir, de piloter le développement, de lancer et de maintenir des produits de pointe utilisés par les usagers, les villes et les opérateurs du monde entier. Nous représentons LUS lors des forums de micromobilité, interagissons directement avec les clients et orientons la recherche et le développement. Notre objectif est de garantir que tous les produits que nous développons offrent une expérience utilisateur optimale, soient compétitifs à l'échelle mondiale, élégants et tournés vers l'avenir. Nous recherchons un chef de produit matériel senior exceptionnel pour gérer notre portefeuille de stations existantes et développer la prochaine génération de produits. Nos stations sont aujourd'hui aussi emblématiques du paysage urbain que les anciens bus Routemaster londoniens. Vous serez responsable de l'ensemble du processus de développement des nouvelles stations, en pilotant une équipe pluridisciplinaire à chaque étape, du développement matériel au lancement. Vous gérerez également un parc de plus de 300 000 stations, avec ou sans chargeur, déjà déployées. Vous collaborerez directem

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliabilit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely.

About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing thr

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

You love turning real business problems into working AI solutions — and you’re not afraid to roll up your sleeves to ship them. In this role, you’ll lead Diligent’s internal AI Solutions function , a small, high-impact team that is embedding AI and GenA I into the systems thousands of colleagues use every day across Marketing, Sales, Customer Success, Finance, HR, Legal, and Product & Engineering. You’ll set the AI vision and roadmap for internal tools, architect solutions, and still build hands-on — from prototypes and reference implementations through to production-grade integrations . You’ll own how AI shows up inside ERP, CRM, BI and core IT platforms, and you’ll be accountable for making those solutions reliable, secure, compliant, and measurably valuable for the business. If you enjoy being a “player-coach” who can move seamlessly between executive conversations and deep technical reviews, this role gives you the scope, visibility, and impact to shape how a global SaaS leader uses AI to run smarter and faster. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach, and grow a high-performing team of AI Solutions Architects and Engineers, setting clear goals and building the capabilities the business needs as AI demand scales. Define and own the strategy, vision, and roadmap for internal AI solutions, translating business priorities into a focused portfolio of AI and platform initiatives. Design and deliver end-to-end AI/GenAI solutions — from ideation and prototyping through production deployment, monitoring, and continuous improvement. Embed AI capabilities (such as RAG, copilots, agents, summarization, and classification) into core business applications including ERP, CRM, BI, and other enterprise systems in a robust, maintainable way. &nbsp

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Applied AI Engineer at Vanta, you will play a crucial role in shaping Vanta’s AI offerings, setting technical strategy, and leading projects that leverage AI to deliver smarter, faster outcomes for our customers. You'll be part of a team integrating AI into the Vanta product, working alongside a multidisciplinary group of product engineers, machine learning engineers, product managers, designers, and security and compliance experts to implement, scale, and maintain AI-enabled product experiences. In this role, you’ll build products that enable Vanta’s customers to leverage AI to accelerate their journey towards compliance, managing risk, and earning trust. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an engineer working on Applied AI at Vanta: Work cross-functionally to design and implement AI-powered features to deliver customer value and integrate LLMs with Vanta’s existing products and systems. You’ll work with other product engineers across Vanta to understand how AI systems can accelerate product adoption at Vanta Instrument evaluations, guardrails, and monitoring, and review customer usage to continually improve quality Collaborate with AI Platform engineers shaping foundational AI systems and tooling that accelerate product teams Make pragmatic tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Mentor engineers, champion good technical and product instincts, and model a collaborative, high-ownership engineering culture How to be successful in this role: At least 7 years of industry experience as a software

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other