Top AI Jobs in Calgary

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Develops AI-assisted content and marketing automation for EMHware and GoodTherapy. Responsibilities include creating HubSpot workflows, optimizing SEO, managing A/B testing, deploying campaigns across digital channels, building KPI dashboards, analyzing attribution and audience segments, and translating marketing data into actionable recommendations.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Build and operate backend systems, APIs, integrations, automation workflows, and enterprise knowledge infrastructure for AI applications. Develop retrieval pipelines, vector database solutions, and agent-based systems while improving scalability, observability, reliability, and performance. The role requires production software engineering, modern AI architecture knowledge, clear documentation, testing, and collaboration with technical and nontechnical teams.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Own the technical direction and implementation of authentication, authorization, and on-behalf-of delegation for Redpanda’s agentic AI platform. Extend its OAuth authorization server and token vault, build auditable delegation systems, and federate with enterprise identity providers such as Okta, Entra, and Ping. Lead technical decisions across multiple engineering teams, track emerging agent identity standards, collaborate with security and product teams, mentor engineers, represent technical positions externally, and deliver production-hardened systems.

Build automated growth marketing systems for enterprise and mid-market segments using AI, data enrichment, workflow automation, ABM, and intent signals. Responsibilities include lead scoring, CRM data management, outbound orchestration, seller operations automation, account tiering, regional workflow localization, vendor evaluation, and performance reporting against pipeline and SQL goals.

Own bug triage, code fixes, testing, and product quality monitoring across AI-powered products. Interpret user feedback, identify meaningful issues, validate fixes and edge cases, communicate status clearly, and document recurring problems. The role requires independent judgment, product sense, technical troubleshooting, and effective use of Claude Code and other AI tools. It is fully remote for US or Canada-based independent contractors, with potential conversion to full-time employment.

Leads accounting systems transformation and finance automation, including NetSuite and Salesforce optimization, AI agent deployment, integrations, reporting, and internal tooling. Owns project plans, testing, training, go-live, controls, and executive reporting while partnering with engineering and cross-functional teams. Identifies automation opportunities, pilots AI vendors, supports SOX requirements, and trains finance staff on new workflows.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Provides enterprise-wide architectural leadership for data and AI, defining principles, standards, reference architectures, roadmaps, and governance guardrails. Advises executives and architecture teams on platform decisions, modernization, risk, privacy, security, regulatory alignment, and responsible AI adoption. Oversees major initiatives to improve consistency, reuse, data quality, and long-term sustainability across hybrid legacy and modern environments.

Own end-to-end Lyric deployment workstreams from planning through go-live. Manage project plans, meetings, timelines, budgets, risks, UAT, customer adoption, training, and post-launch monitoring. Partner with executives, engineers, and supply chain operators to translate business needs into platform solutions and ensure successful delivery.

Conduct research on AI accelerator architectures and semiconductor supply chains to assess power, cooling, and infrastructure implications. Monitor data-center build-outs and industry disclosures, synthesize findings into written briefs and competitive-intelligence products, and ground analysis using Enverus energy datasets.

Conduct primary and secondary research on power demand from data centers, monitor regulatory filings and interconnection queues, build and audit financial Excel models, synthesize findings into concise briefs and data tables, support senior analysts on large projects, and use Enverus proprietary datasets (PRISM) to ground research.

Lead company-wide AI capability and adoption by developing strategy, coordinating a cross-functional AI Superteam, designing role-based learning, driving change management, scaling successful use cases, and measuring AI readiness, usage, and impact. The role partners with senior stakeholders across business, technology, security, and legal teams to promote responsible, practical AI use and embed new ways of working across the organization.

Build and own production AI systems as Jobber’s founding AI engineer. The role covers end-to-end architecture, retrieval quality, permissions, security, reliability, LLMs, agents, integrations, and workflow deployment. You will partner with teams and executives, evaluate build-versus-buy options, run rapid proofs of concept, establish technical standards, and deliver trustworthy AI systems used across the company.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.

Own the technical design and delivery of multi-component AI systems, including evaluation frameworks, data pipelines, feedback loops, model-tool boundaries, and agent harnesses. Ship reliable LLM-backed features, optimize latency and cost, support APIs and SDKs, review designs and code, and participate in 24/7 on-call rotations. Collaborate across teams on geospatial, navigation, platform, and developer-focused AI problems.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.