Top AI Jobs in Vancouver

Lead technical strategy and pre-sales efforts for large enterprise accounts, helping customers adopt Databricks for data, machine learning, and AI transformation. Partner with account executives, build executive relationships, develop technical champions, guide evaluations and adoption, lead virtual teams, present strategic recommendations, mentor colleagues, and apply expertise in big data, cloud, data science, and production programming.

Build and maintain production LLM-based agents and automated digital customer success journeys. Analyze customer behavior, design playbooks and agent architectures, write Python integrations, create evaluation and regression tests, deploy and monitor production systems, and continuously improve performance. The role partners cross-functionally to increase product adoption, reduce churn risk, and improve retention and expansion across a high-volume B2B SaaS customer base.

Build Tungsten’s sales motion from the ground up by generating pipeline, managing complex B2B software deals through close, expanding existing accounts, and developing repeatable ICP, messaging, pricing, qualification, and sales processes. The role partners closely with founders and engineering, translates customer needs into product opportunities, and navigates enterprise procurement, legal, security, and stakeholder alignment.

Leads Waabi’s earned media, executive communications, internal communications, thought leadership, and communications agency relationship. Develops accurate narratives across technology, logistics, transportation, and business media; supports executive visibility; maintains external messaging guardrails; and builds the foundation for a future communications team.

Build production agentic AI capabilities focused on monitoring, guardrails, evaluation, security, collaboration, and ROI. Perform machine learning tasks including exploratory data analysis, feature engineering, and model fine-tuning. Translate research into scalable software, rapidly prototype features, collaborate cross-functionally, and deliver production-ready code while exploring emerging agentic technologies and AI security techniques.

Lead a small team developing secure, reliable agentic AI capabilities. Responsibilities include building agent monitoring, guardrails, evaluation frameworks, and collaboration tools; performing machine learning tasks such as exploratory data analysis, feature engineering, and fine-tuning; translating research into production features; contributing code and technical designs; and mentoring engineers while setting technical direction.

Leads Insurity’s enterprise cybersecurity, information security, privacy, HIPAA, AI governance, risk, compliance, and incident response programs. The CISO sets security strategy, advises executives and the Board, oversees cloud and application security, manages audits and third-party risk, directs major incidents, protects regulated data, and builds a scalable security organization. The role also embeds security into product development, DevOps, AI adoption, customer assurance, and business operations.

Leads full-cycle recruitment for commercial roles through sourcing, interviewing, negotiation, and closing. Manages candidate pipelines in Greenhouse, partners with hiring managers, provides recruitment reporting and insights, resolves process issues, supports diversity and inclusion, and improves candidate experience and hiring practices. Handles multiple requisitions while maintaining candidate engagement and stakeholder alignment.

Leads global total rewards strategy and an eight-person team across compensation, equity, benefits, retirement, executive compensation, job architecture, pay equity, governance, and HR technology. Advises executives, boards, and Compensation Committees; oversees scalable programs, international expansion, audits, acquisitions, and public-company readiness. Partners with Finance, Legal, and external advisors while advancing analytics, automation, AI, and platforms such as Pave.

Own the roadmap for Maestro, nesto’s AI mortgage platform. Translate complex lending workflows into PRDs, decision logic, metrics, and shipped products. Collaborate with machine learning, engineering, underwriting operations, and business stakeholders. Improve throughput, decision speed, accuracy, and operational capacity while creating feedback loops between AI outputs and expert judgment. The role requires strong structured thinking, communication, execution in ambiguity, and active use of AI tools throughout the product lifecycle.

Operationalize global privacy and responsible AI programs across the SaaS development lifecycle. Manage EU AI Act and data protection readiness, automated decision-making governance, DPIAs, AI use-case reviews, and data subject protections. Partner with legal, product, security, engineering, and sales teams to translate privacy controls and AI governance into scalable product standards, customer trust, and sales enablement.

Lead customer-facing cloud and AI architecture engagements across Azure and GitHub. Design, build, and operate scalable cloud solutions; create proofs of concept and MVPs; remove technical adoption blockers; and guide migrations, platform engineering, application development, security, DevOps, data, and AI initiatives. Build trusted advisor relationships, deliver workshops, collaborate with engineering and partners, and communicate solution value and risks to technical and executive stakeholders.

Lead research on dexterous manipulation for high-degree-of-freedom robotic hands. Develop vision-language-action and world-model policies, tactile and proprioceptive inputs, demonstration-data pipelines, teleoperation and retargeting methods, and hardware evaluations. Deploy learned policies on real robots, publish research, mentor researchers, collaborate with hardware and controls teams, and influence future hand and sensor designs.

Develop and deploy AI and automation solutions using Microsoft Copilot, Power Platform, and emerging technologies. Build Power BI dashboards, prototypes, proofs of concept, and intelligent agents; integrate solutions into Microsoft 365; optimize internal processes; facilitate process-improvement workshops; and document solutions and benefits. Collaborate with technical and non-technical teams to reduce low-value work, accelerate decision-making, and improve employee experience.

Design, build, and ship production-ready AI-powered web products end to end. Develop full-stack applications with TypeScript and PostgreSQL, create accessible interfaces and design systems, implement LLM features and tool-using agents, and manage evaluations, security, CI/CD, infrastructure, monitoring, and reliability. Collaborate on product specifications, release frequently, and improve products using user feedback.

Drive full-cycle B2B sales for AI-powered products and software services, including prospecting, discovery, demonstrations, proposals, negotiations, closing, renewals, and partner development. Translate technical AI capabilities into business value, develop ROI cases, manage pricing and pipelines, guide pilots into paid engagements, and address contracts, procurement, privacy, security, and integration concerns with business and technical stakeholders.

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.

Analyze the customer lifecycle across activation, engagement, retention, expansion, and renewal for a product-led SaaS business. Partner with Customer Success, Product, Growth, RevOps, and Data Engineering to develop analytical frameworks, identify growth opportunities, evaluate experiments, and provide actionable recommendations to senior leaders. Build data foundations and standards supporting digital success, AI, automation, forecasting, anomaly detection, and generative BI.

Conduct independent research on machine learning, knowledge representation, formal methods, AI agents, and trustworthy AI systems. Develop algorithms, models, prototypes, benchmarks, and rigorous experiments for enterprise-scale applications. Collaborate with scientists, engineers, and domain experts to translate operational constraints into deployable research systems. Evaluate reliability, robustness, privacy, interpretability, latency, cost, and process outcomes, while communicating findings through publications and internal or external presentations.

Define and scale CoLab’s supplier ecosystem go-to-market strategy across OEMs, Tier 1 suppliers, and Tier 2 suppliers. Package and price the supplier motion, map supply networks, develop value cases, enable prospecting and customer success teams, and support strategic deals. Lead executive workshops, coach account teams, identify supplier-sourced opportunities, track activation and pipeline metrics, and translate market signals into product feedback. The role is remote-friendly in Eastern or Central time zones and includes frequent customer travel.

The Data & Systems Analyst will improve data governance, quality, integrations, reporting, dashboards, and visualizations across school systems. Responsibilities include supporting Blackbaud, maintaining student and learning-management system connections, validating academic reporting data, documenting processes, improving workflows through automation, and exploring AI-enabled analysis. The role collaborates with academic, operational, and technology teams to strengthen privacy, security, system usability, and data-informed decision-making.

Leads vision, strategy, and roadmap execution for Workday’s AI-powered Contract Intelligence and Analytics portfolio. Partners with engineering, data science, design, marketing, customers, and executives to develop generative and predictive AI products, define requirements, analyze markets, establish monetization strategies, and deliver enterprise SaaS solutions at scale.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

The Creative Director will set AlgaeCal’s visual and brand standards, lead multidisciplinary creative teams, and oversee campaigns, launches, websites, advertisements, and brand assets. Responsibilities include developing creative strategy, improving workflows, using performance data to optimize advertising, hiring and developing talent, influencing senior stakeholders, and applying AI to creative processes while maintaining originality and quality.

Troubleshoot and resolve complex customer issues involving Arista hardware, software, hyperscaler networks, and AI infrastructure. Investigate network problems, perform root-cause analysis, collaborate with engineering, sales, and account teams, and document technical resolutions. The role supports installation, operation, and maintenance while requiring expertise in networking protocols, Linux, packet analysis, high-speed connectivity, and cloud or AI networking environments.