Top AI Jobs in Calgary

Build repeatable AI product packages that drive customer adoption from initial use to team-wide deployment. Partner with Product, Engineering, and Customer Success to solve technical blockers, translate customer needs into use cases, support Motion’s internal marketing team, and help influencers adopt Runneth. The role combines customer relationship management, marketing knowledge, hands-on AI building, technical problem-solving, and evolving customer success ownership.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Own the end-to-end customer journey from initial discovery through insurance purchase and cross-product adoption. Lead landing pages, signup funnels, quote shopping, personalization, customer communications, and carrier integrations. Partner with Engineering, Design, Analytics, Marketing, and leadership to identify opportunities, analyze customer needs, simplify complex experiences, and deliver high-impact products quickly. The role requires strong product ownership, analytical ability, customer empathy, communication, and comfort navigating ambiguity in a fast-paced environment.

Lead corporate affairs and public policy communications for an AI video company. Develop positions on responsible AI, creative rights, safety, privacy, and content moderation; manage sensitive issues and external responses; prepare executives for media, policymaker, and stakeholder engagement; and coordinate messaging across Legal, Product, Trust & Safety, Communications, and enterprise teams.

Leads HackerOne’s partnership sales strategy, revenue performance, and team of seven Channel Account Managers. Builds and scales reseller, technology alliance, and cloud marketplace partnerships, including AWS. Establishes operating models, metrics, forecasting, enablement, and accountability while developing executive partner relationships. Collaborates with Sales, Marketing, Revenue Operations, Legal, Customer Success, and Product to drive partner-sourced and partner-influenced pipeline, revenue, and durable growth.

Own the Commercial SMB customer segment, driving onboarding, adoption, retention, and expansion. Build a proactive, AI-assisted customer success model; lead SMB onboarding and AI agent rollout; design scalable workflows, processes, and playbooks; coordinate with Sales, Marketing, RevOps, Support, Product, and AI teams; and represent SMB customer needs across the organization.

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

Leads complex federal proposal and pursuit efforts, including RFP analysis, win strategy, capture planning, content development, compliance, scheduling, quality control, and interview preparation. Develops pursuit-specific marketing campaigns, presentations, qualification materials, and client positioning while coordinating cross-functional teams and leadership. Supports account management, public relations, thought leadership, opportunity tracking, and brand-building initiatives across multiple geographies.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Build and own production AI systems as the founding technical engineer within Jobber’s Office of the CEO. Architect systems end to end, including LLMs, retrieval, agents, integrations, permissions, security, reliability, and quality. Embed with teams to deliver AI into real workflows, evaluate build-versus-buy decisions, run rapid proofs of concept, and establish trustworthy AI standards. The role requires executive communication, pragmatic technology choices, and Staff-plus experience delivering systems used daily at scale.

Manage mid-market and enterprise customer accounts, leading onboarding, training, business reviews, engagement campaigns, renewals, and expansion coordination. Build stakeholder relationships, demonstrate product ROI, address objections, analyze usage data, deliver presentations and demonstrations, troubleshoot technical issues, and advocate for customer feedback internally. The role requires SaaS customer success or account management experience, strong communication and sales skills, and familiarity with HubSpot and Stripe.

Drive upselling and cross-selling to existing customers through prospecting, needs discovery, product demonstrations, business-case development, negotiation, forecasting, and deal closure. Manage qualified opportunities using Salesforce, monitor funnel metrics, and collaborate with Support, Account Management, SDRs/BDRs, Customer Success, and Sales Engineering teams to deliver tailored SaaS solutions.

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.

Build and support production AI applications, assistants, and agent workflows embedded with customer teams. Responsibilities include business discovery, full-stack development, LLM and RAG integration, enterprise API and data integration, AWS serverless deployment, testing, evaluation, monitoring, security, troubleshooting, documentation, user adoption, and production support. The role also involves collaborating with stakeholders, creating reusable components, reviewing developers’ work, and integrating with SAP and ERP systems.

Own the vision, roadmap, execution, and quality measurement for Clio’s AI Search platform. Lead engineering and ML teams developing hybrid lexical and semantic search across documents, emails, and records. Improve relevance through ranking, query understanding, embeddings, A/B testing, click-through analysis, and offline evaluations. Coordinate across Clio products while balancing relevance, latency, cost, permissions, and customer AI preferences. Translate customer search needs into measurable product improvements and guide both new product development and platform scaling.

Lead strategic product and growth partnerships with Big Tech, legal technology firms, ISVs, and other technology partners. Build and prioritize a high-value deal pipeline, negotiate complex agreements, collaborate with Product, Engineering, GTM, Legal, and Compliance, and develop partnership monetization strategies. Mentor business development and partnership teams while driving measurable revenue, lead generation, product alignment, and long-term partner value.

Leads claims audit, investigation, fraud risk management, prevention, and education programs for a health benefits organization. Develops multi-year strategies, oversees risk-based audits and investigations, strengthens controls, partners with providers, regulators, and law enforcement, and reports findings to senior leadership and Board committees. Uses analytics and artificial intelligence to identify risks and improve case selection. Manages and develops the investigation and claims audit team while ensuring fairness, confidentiality, compliance, and continuous improvement.

Lead complex enterprise customer engagements involving secure, resilient, AI-enabled Azure solutions. Advise executives and technical leaders, improve solution health, performance, and availability, resolve critical incidents, and drive cloud adoption and business value. Deliver proactive assessments, workshops, guidance, and support while collaborating with account, engineering, and support teams. Influence product roadmaps, identify growth opportunities, mentor technical talent, lead projects, and contribute to customer success strategies and on-call support.

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Lead technical customer engagements for Agentic AI and cloud application platforms. Design secure, scalable, resilient architectures; conduct workshops, demonstrations, whiteboarding, prototypes, proof-of-concepts, and pilot deployments. Advise technical and business stakeholders, influence Azure adoption and technical decisions, modernize application platforms, and deliver AI transformation outcomes. Collaborate with engineering, customer success, partners, and specialists while sharing reusable architectures and best practices.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Leads the architecture, deployment, and scaling of secure, auditable agentic AI solutions. Partners with executives, clients, industry leaders, and engineering teams to identify use cases, translate business needs into production-ready systems, deploy solutions through AltaForge, establish evaluation standards, and deliver measurable adoption, ROI, and lifecycle value. The role also supports account growth and recurring revenue through successful AI implementation.

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.

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.

Eight-month intern supporting enterprise data, analytics, AI, governance, automation, and digital transformation initiatives. Responsibilities may include building data platforms and pipelines, analyzing data, developing dashboards, supporting AI-enabled solutions, improving data quality, researching emerging technologies, and preparing business materials. Interns collaborate with technical and business stakeholders while gaining hands-on experience with cloud platforms, data engineering, analytics, governance, and AI adoption.