Top AI Jobs in Vancouver

Lead onboarding and implementation of AISim solutions for strategic customers, design reference architectures and runbooks, enable secure cloud/LLM integrations, drive deployment best practices, provide technical escalation and root-cause analysis, and feed product engineering with customer insights to improve operability and adoption.

As a Lead AI Engineer, you will develop ML systems, train models, optimize AI agents, and mentor engineers, ensuring focus on production AI applications.

Build and run scalable AI-first GTM automation: design multi-agent architectures, integrate LLM APIs and marketing/CRM platforms, implement CI/CD and observability, and enable partner teams with templates, docs, and training to drive measurable GTM outcomes.

The Director of Product Management is responsible for overseeing the AI Agents Platform, leading product strategy, development, and market execution while collaborating across teams to enhance customer experiences.

Lead creation of technical written and video content about generative AI and code generation, ensure technical accuracy, mentor content writers, represent the brand on camera, define content strategy, and collaborate closely with engineering and product teams to align messaging and improve content performance.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Chatdesk Expert, provide customer support for brands through social media and email. Set your own schedule and work remotely.

The Account Executive will drive customer acquisition in the AI-native sector, manage the sales cycle, create a scalable sales playbook, and collaborate cross-functionally to establish Metronome as a leading billing infrastructure.

The Senior AI Developer will create and integrate AI-powered features into a practice management platform, focusing on LLMs and agentic AI. Responsibilities include feature design, architecture implementation, collaboration with teams, and evaluation of emerging AI technologies.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

Lead development of AI-driven features, manage integrations and teams, oversee product strategy, and cultivate relationships to drive business growth.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

As an AI Strategist, guide organizations in adopting AI by translating business challenges into clear use cases, aligning with enterprise architecture, and influencing high-impact decisions across teams.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.