Top AI Jobs in Calgary

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Lead product security initiatives focused on application security, systemic vulnerability remediation, secure architecture, software development lifecycle improvements, GitHub workflows, SCA tooling, and private package repositories. Partner with developers, promote secure development practices, experiment with AI-assisted vulnerability analysis and fixes, represent Product Security cross-functionally, and mentor teammates.

Shape Motion’s market presence through positioning, storytelling, product launches, and campaigns. Rapidly test marketing ideas, identify opportunities, scale successful initiatives, and build AI-native systems and workflows that multiply marketing effectiveness. The role is designed for an experienced marketing executive who wants to return to hands-on execution while helping define modern marketing at a fast-growing AI company.

Develops communications strategy and thought leadership for cybersecurity, identity, access management, and AI topics. Responsibilities include media relations, executive communications, contributed content, event and speaking strategies, rapid response, narrative development, journalist engagement, and communications measurement. The role translates complex technical concepts into credible messaging for developer, business, and security audiences while collaborating with marketing, product, engineering, security, legal, sales, executives, and agencies.

Own Spellbook’s entire product function, including product vision, portfolio strategy, roadmap prioritization, execution, launches, customer insight, analytics, and cross-functional alignment. Lead and grow a team of Product Managers while partnering with engineering, design, marketing, sales, customer success, and the CEO. Drive AI-powered B2B SaaS product development and contribute to company strategy, investor narratives, and fundraising efforts.

Leads AI, AEO/GEO, and growth product strategy for Uberall, including roadmap development, product innovation, product-led growth, and customer retention. Manages and mentors global product managers while collaborating with engineering, design, marketing, sales, customer success, and senior leadership. Uses market trends, customer data, competitive analysis, and product metrics to guide decisions and optimize initiatives. Requires deep AI and SaaS expertise, strong growth strategy experience, and a proven record of launching and scaling successful products.

Leads AI strategy, solution architecture, prototyping, automation, innovation, governance, adoption, and measurement across AdFarm and selected client work. Translates business challenges into AI solutions, prioritizes opportunities, evaluates build-versus-buy decisions, leads pilots, partners cross-functionally, and communicates results and investment needs to senior leaders. Requires hands-on AI application design, technical fluency, change leadership, stakeholder influence, and agency or professional-services experience.

Lead the architecture and end-to-end delivery of enterprise IVR, routing, conversational AI, generative AI, and agentic virtual agent solutions. Responsibilities include developing bots, designing integrations, optimizing speech experiences, leading Agile delivery, establishing testing and deployment practices, advising customers, delivering training, and providing technical leadership. The role requires extensive experience with Dialogflow, Lex, enterprise APIs, architecture, software development, and customer-facing technical consulting.

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Build and own customer-facing product features end to end, from customer discovery and prototyping through production deployment and validation. Develop across Rails APIs, React and TypeScript frontends, AI agents, realtime voice, video, search, and analytics. Work autonomously with founders and product teammates, use AI coding tools daily, maintain production systems, make UX decisions, and take accountability for product outcomes.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Staff Content Designer responsible for shaping investing product experiences, simplifying complex concepts such as options, margin trading, futures, and perpetuals. Partners early with product, design, engineering, marketing, brand, legal, and compliance teams. Develops content standards, workflows, templates, and AI-powered processes to scale quality. Requires strategic thinking, hands-on UX writing, mentorship, and the ability to become a subject matter expert. Applicants must submit a portfolio with at least three case studies demonstrating improved user experience and business outcomes.

Leads the technical vision and delivery of an enterprise agentic AI program. Oversees architecture, evaluation, deployment, MLOps, reliability, security, and scalability across multiple workstreams. Partners with executives and client stakeholders on roadmaps and high-stakes decisions, aligns data science and engineering teams, establishes technical standards, and mentors senior technical leaders. Requires deep experience in AI/ML, LLMs, agentic systems, AWS, distributed systems, evaluation, and production-scale software engineering.

Lead Tilt’s product design function across consumer financial products. Set design vision and quality standards, manage and grow a team of six designers and one researcher, build research capabilities, influence product strategy, scale the design system, advocate for users, and partner with Product, Engineering, Marketing, and executive leadership. Drive AI-enabled design practices and ensure product experiences deliver measurable user and business impact.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, discovery and intake processes, vendor relationships, delivery alignment, KPIs, and continuous improvement efforts. Evaluate AI-supported solutions and ensure automation initiatives meet business, compliance, technical, and operational objectives.

Design and build production agentic AI systems for enterprise clients. Develop autonomous agents using Glean, OpenAI/GPT Enterprise, and AWS or GCP. Own agent lifecycles from architecture and implementation through deployment, monitoring, evaluation, and iteration. Apply tool calling, RAG, multi-step orchestration, memory, prompt engineering, structured outputs, permission-aware retrieval, and observability to create reliable, secure, maintainable enterprise-scale AI solutions.

Research and develop world models that perceive, simulate, and forecast changes in properties and infrastructure. Design representation-learning and predictive-modeling approaches using aerial and satellite imagery, property records, and other signals. Build rigorous evaluations, run large-scale cloud GPU experiments, document findings, and transition successful research into production capabilities. The role requires deep learning expertise, empirical rigor, strong ownership, and collaboration with AI and engineering teams.

Leads product strategy, vision, roadmap, and execution for 1Password’s Developer Experience, AI security, and AI-powered security portfolios. Oversees secure developer and AI-agent workflows involving identity, delegation, secrets delivery, and access control. Partners with engineering, design, marketing, partnerships, security, and GTM teams; leads standards and developer engagement; establishes product metrics and operating rhythms; and recruits and mentors senior product managers.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Own Sophos EDR strategy, roadmap, technical product development, AI-powered experiences, and go-to-market execution. Translate customer needs, threat research, telemetry, competitive intelligence, and business goals into product priorities. Partner with engineering, security operations, threat research, marketing, sales, and customer success to deliver endpoint detection, investigation, threat hunting, response, reporting, and XDR/MDR upgrade capabilities while driving adoption, revenue, and customer outcomes.

Lead applied AI and machine learning innovation for supply chain products. Develop prototypes and proof-of-concepts, evaluate emerging techniques, and guide promising ideas toward scalable enterprise capabilities. Provide technical leadership across research, product, and engineering teams while remaining hands-on with ML, generative AI, agents, LLMs, optimization, recommendation, and explainability. Influence architecture and technical direction, mentor colleagues, assess AI-generated code, and ensure solutions meet quality, security, maintainability, and customer-impact standards.