Top AI Jobs in Calgary

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.

Owns quality assurance for cryptocurrency and sanctions compliance programs, including sampling, decision reviews, metrics, risk reporting, corrective actions, and continuous improvement. Partners with BSA/CFT and Sanctions program owners and leadership to ensure compliance standards align with regulatory requirements and product growth. Requires deep AML, KYC, sanctions, and fintech compliance expertise, strong analytical and communication skills, executive influence, and AI fluency.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads and executes risk-based IT, technology, and cybersecurity audits for a regulated financial institution. Responsibilities include risk assessment, audit scoping, control testing, reporting, remediation validation, application and infrastructure reviews, third-party technology assessments, audit planning, methodology improvement, and coaching. The role requires translating complex technical risks for varied audiences and applying data analytics and AI throughout the audit lifecycle.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Lead AI- and data-driven business transformation for North American customers across order-to-cash, procure-to-pay, inventory, and supply chain processes. Own value realization from discovery through ROI, develop executive narratives, manage stakeholders and global transformation workstreams, automate governance and project management with AI tools, and drive Celonis platform adoption. Partner with sales, value engineering, and customer leaders to build strategic roadmaps, enable change, and identify expansion opportunities.

Lead a high-volume Scale Customer Success team serving mid-market and large commercial customers. Build segmentation strategies, digital and AI-driven engagement programs, playbooks, and lifecycle workflows to improve retention, expansion, adoption, and CSM productivity. Hire and develop CSMs, manage risk using data, collaborate with Sales and cross-functional teams, and personally handle critical customer escalations.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Research Analyst supporting JLL’s Calgary office leasing and national data center research platforms. Responsibilities include collecting, auditing, and maintaining commercial real estate datasets; building market reports and presentation decks; analyzing lease transactions and tenant movements; updating Excel models and databases; creating GIS-based visualizations; presenting insights to brokers and clients; and using AI and automation tools to improve research workflows.

Advises Canadian entrepreneurs and executive teams on AI strategy, readiness, governance, and adoption. Leads assessments, identifies high-value use cases, oversees advisory mandates, coordinates stakeholders, and drives change management and client adoption. Provides executive guidance on responsible AI, develops advisory frameworks and training, contributes to thought leadership, and supports business development. The role focuses on business outcomes and practical AI implementation rather than technical model development.

Delivers consulting engagements that help Canadian businesses improve productivity and operational performance through industrial automation, robotics, AI, and operational excellence. Leads assessments, investment planning, business cases, roadmaps, and implementation initiatives while managing scope, budgets, timelines, and client relationships. Provides technical expertise, develops advisory methodologies, supports proposals and business development, and advises clients on practical automation solutions.

Develops and executes hedging strategies for foreign exchange, interest rate, commodity, and power risks. Builds financial models, evaluates exposures and hedge effectiveness, and uses AI, automation, and analytics to improve risk management. Partners with Treasury, Capital Markets, and business teams on financing, investments, acquisitions, and commercial opportunities. Monitors markets and regulations, prepares risk forecasts and recommendations for senior leadership, and supports enterprise-wide risk assessment.

Supports systems engineering for mission-critical software controlling uncrewed vehicles. Assists with requirements capture, system design, integration, verification, validation, and testing. Collaborates with software developers to deliver tested systems and may participate in on-site integration, training, flight trials, and local flight-testing operations.

Leads analytics and AI initiatives for power operations, focusing on generator performance, reliability, availability, compliance, and operational risk. Develops KPIs, dashboards, monitoring tools, process improvements, financial models, and anomaly analyses. Evaluates and governs AI-enabled solutions, leads pilots and adoption, supports audit-ready assurance, and translates complex operational data into recommendations for field teams and leadership.

Lead the design and implementation of AI products for edge devices, optimizing machine learning models under edge-compute constraints. Work with petabyte-scale sensor, video, text, diagnostic, transaction, and location data; collaborate with ML, firmware, hardware, and full-stack engineers; prototype new AI experiences; ship production systems at scale; and mentor ML engineers.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

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.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

Own the full sales cycle for digital marketing bundles targeting local businesses. Responsibilities include prospecting, making 30–40+ outbound calls daily, qualifying leads, conducting pitches, closing sales, following up, maintaining CRM records, reviewing pipeline performance, and using AI-powered coaching tools to improve sales effectiveness. The role is fully remote in Canada and offers progression to Account Executive.

Manages strategy, discovery, roadmap development, prioritization, delivery, adoption, and continuous improvement for an AI-enabled digital workflow product. Translates customer and business needs into product capabilities, collaborates with UX, engineering, data, and AI teams, defines requirements and success metrics, validates concepts, supports launches, and drives measurable user and business outcomes.