Top AI Jobs in Calgary

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Build and improve AI-powered customer support agents for telecommunications providers. Responsibilities include developing the agent runtime, configuration tools, observability dashboards, evaluation frameworks, safety guardrails, continuous-improvement systems, and omnichannel integrations across voice, chat, email, and SMS. The role uses TypeScript across frontend, backend, and infrastructure in a serverless microservices environment, with emphasis on LLMs, agent design, product quality, and customer trust.

Design, build, test, govern, and support AI-enabled solutions across Microsoft Power Platform and Copilot. Develop agents, applications, automations, integrations, and AI services; coordinate testing and UAT; manage security, access, governance, licensing, capacity, and operational support; and partner with business stakeholders through training and adoption. Maintain platform standards, solution inventories, observability, responsible AI practices, and scalable delivery patterns.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Leads Airbnb’s global AirCover quality program for insurance and property-damage claims. Responsibilities include developing quality strategy and COPC-aligned frameworks, overseeing internal and partner-site evaluations, conducting root-cause analysis, escalating high-severity issues, automating KPI reporting and quality assurance, and driving AI and analytics adoption. The role also manages a distributed quality team, develops stakeholder reporting, improves coaching effectiveness, and partners with operations leadership. Success requires strong expertise in complex, high-volume support environments and quality governance.

Own the financial services product line from discovery through launch and iteration. Set the roadmap, determine which deployment capabilities become core product features, conduct user discovery, define quality standards, and establish accuracy, human-review, citation, and safe-failure models for regulated workflows. Prototype in design or code, collaborate with engineers and designers, understand the market, and deliver reusable AI capabilities across financial institutions.

Manage the operational delivery of human data for a strategic AI customer. Responsibilities include translating requirements into workflows, managing participant pools and onboarding, tracking supply and quality, leading cross-functional projects, resolving operational issues, documenting processes, and improving scalability with Product and Engineering. The role also supports participant assessment and certification programs while serving as an operational point of contact for delivery teams.

Design, develop, optimize, and deploy scalable computer vision and vision-language systems using classical computer vision and deep learning. Build evaluation frameworks, monitor production models, debug issues, and improve architectures with new data. Collaborate with product managers and cross-functional teams to deliver practical AI solutions across cloud and edge environments.

Leads technical program execution across 55+ production services while personally designing, building, and productionizing AI-agent automation. Responsibilities include program planning, incident and RCA tracking, executive reporting, workflow automation, API integrations, telemetry, reconciliation, validation controls, auditability, and human-in-the-loop processes. The role requires cross-functional leadership, executive communication, operational expertise, and hands-on delivery of reliable automation in complex technology environments.

Own the end-to-end improvement loop for Elastic’s Context Engine, including agent behavior, evaluation, telemetry, retrieval, memory, and safe production rollouts. Build production services in TypeScript or Python, design golden datasets and quality gates, analyze traces and customer feedback, and improve agentic systems through experimentation. Collaborate with data scientists, backend engineers, product, and UX while mentoring engineers and shaping technical strategy.

Transactional attorney supporting M&A and Private Equity practices by identifying, evaluating, and implementing AI-enabled tools, document automation, prompt libraries, and knowledge workflows. The role enhances drafting resources, precedents, and knowledge infrastructure; analyzes market practice and legal materials; trains attorneys and staff; and translates legal judgment into scalable technology solutions. Requires at least four years of M&A or Private Equity experience, legal admission, strong communication skills, and interest or experience in workflow design, technology building, or process improvement.

Develop advanced 3D computer vision and spatial AI systems for wearable construction technology. Build scene understanding, segmentation, object detection, BIM correspondence, localization, and installation-progress models using multimodal sensor data. Design and train deep learning systems, optimize inference for NVIDIA Jetson using TensorRT, CUDA, and ONNX, and deploy robust production pipelines. Contribute to architecture and R&D strategy while mentoring engineers and collaborating across navigation, embedded software, hardware, and product teams.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Leads Absorb’s product management organization, translating company strategy into product roadmaps, portfolio investments, and measurable outcomes. Oversees PM team development, operating models, governance, customer advocacy, capacity planning, and cross-functional delivery across product pods. Drives practical AI adoption in product workflows, establishes measurable adoption goals and guardrails, and strengthens strategic product management capabilities. The role requires extensive B2B SaaS product leadership and experience scaling high-performing PM teams.

Develop AI/ML strategy and production software for Smile Digital Health’s healthcare data platform. Design architectures and implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code, integrate external components, conduct reviews, collaborate with clients and product teams, contribute to technical strategy, and mentor developers in an Agile environment.

Own strategic territories and close net-new enterprise software deals. Lead value-based sales cycles from discovery through proof of value, negotiation, and close; build executive relationships; develop account strategies; maintain Salesforce pipeline and forecasts; partner with alliances teams; and advise customers on supply chain resilience, risk, and compliance.

Supports the GTM Lead and founders across sales, growth, and content. Responsibilities include creating technical content for AI products, running growth experiments, supporting outbound initiatives, building the sales funnel, communicating with technical buyers, and collaborating with engineering in an early-stage environment.

Build Lingopal’s go-to-market motion for its evolving AI agent platform. Develop positioning, target accounts, outbound strategy, sales processes, and pricing inputs. Own enterprise sales from prospecting through discovery, pilots, and closing across customer-support-heavy enterprises and scaling AI-agent companies. Engage senior buyers including Chief AI Officers, COOs, and CTOs, while feeding market insights back into product strategy.

Architect, build, deploy, and operate production-grade AI agentic systems and workflows. Responsibilities include backend and full-stack development, agent orchestration, workflow state, retrieval, memory, approvals, failure recovery, data architecture, enterprise integrations, cloud infrastructure, observability, security, and scaling. The role establishes reusable engineering patterns and partners with users to deliver reliable AI products, while addressing production issues involving model behavior, permissions, latency, cost, and consistency.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

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.