Top AI Jobs in Vancouver

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.

Leads and develops a software engineering team while remaining hands-on with coding, code reviews, architecture, and technical solution design. Partners with Product and Design leaders to create roadmaps, solve complex problems, hire and retain engineers, provide career coaching, and improve development processes. The role requires strong people leadership, software development expertise, adaptable execution, and an interest in emerging technologies including AI.

Own initial sales conversations with prospective small-business customers through inbound and outbound outreach. Conduct discovery, understand financial needs, explain Relay’s value, handle objections, qualify prospects, and provide strong handoffs to Account Executives. Meet activity and conversion targets, apply coaching, identify lead-quality and process issues, and help improve sales resources and workflows in an evolving environment.

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.

Designs clinical and research studies, sampling plans, validation datasets, statistical analysis plans, and normative models. Performs sample size and power analyses, subgroup and lesion-level model evaluations, correlation and agreement analyses, and dataset governance. Ensures statistical work is reproducible, traceable, and suitable for regulatory scrutiny, including potential FDA submissions. Collaborates on AI model validation and clinical alignment in a hybrid Vancouver-based contractor role.

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.

Designs and operates cloud infrastructure, distributed systems, CI/CD pipelines, Kubernetes and EKS environments for a high-scale SaaS platform. Responsibilities include infrastructure automation, capacity planning, performance optimization, monitoring, alerting, security, infrastructure as code, developer productivity tooling, and maintaining highly available systems. The role collaborates closely with developers and platform engineers to deploy reliable, scalable services across AWS and GCP.

Build and operate scalable full-stack features for Evisort’s AI-driven contract management platform. Collaborate with engineering, data science, product, and design teams to deliver user-centric SaaS solutions. Own functional areas from development through production, apply strong engineering and DevOps practices, contribute to roadmap and architecture decisions, mentor teammates, and translate complex problems into clear solutions in an agile environment.

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 the vision, strategy, roadmap, and execution for Workday Evisort’s Contract Intelligence and Analytics portfolio. Partner with engineering, data science, design, marketing, customers, and domain experts to build and launch generative and predictive AI products. Define requirements, evaluate market opportunities, develop monetization strategies, track product metrics, and deliver contract intelligence capabilities for enterprise customers.

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.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Design and implement AI systems for a AAA sports game using Unreal Engine 5 and C++. Build team-based decision-making, play selection, formations, tactics, positional awareness, and realistic player behavior. Optimize performance in multithreaded environments, collaborate with designers and animators, write tested code, conduct reviews, and mentor engineers.

Leads end-to-end delivery of enterprise supply chain analytics and optimization implementations. Responsibilities include engagement governance, solution architecture, modeling, data integration, configuration, UAT, adoption, change management, and executive stakeholder alignment. Manages global cross-functional teams, scopes statements of work, drives delivery accountability, and provides product roadmap feedback. The role is hands-on and customer-facing, requiring strong technical delivery, supply chain analytics, and program management expertise.

Build and maintain front-end features for an AI-driven contract management SaaS. Collaborate with engineers, data scientists, product, and design; own functional areas from development to production; mentor teammates; apply modern dev practices to deliver scalable, user-centric solutions.

Develop and close enterprise sales with investor-owned, municipal, and cooperative electric utilities across North America. Build executive relationships, generate leads, manage HubSpot pipeline, negotiate contracts, present at industry events, write proposals, scope deployments, and transition signed contracts to implementation. Coach SDRs, support sales process improvements, and exceed targets while addressing utility needs involving grid modernization, infrastructure inspection, asset management, and grid operations.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Manage and grow business development teams responsible for generating qualified sales opportunities. Exceed sales targets, coach and develop team members, recruit for future needs, monitor KPIs, collaborate with sales leadership and business operations, improve processes, and align stakeholders across sales segments. The role requires strong sales leadership, communication, organization, and experience in fast-paced technology or SaaS environments.

Drive business transformation and technology sales for Western Canadian provincial governments and public health accounts. Manage opportunities across the full sales cycle, develop territory and account strategies, maintain pipeline forecasts, engage executives, and align Microsoft AI, Security, Cloud, CRM, ERP, and low-code solutions with customer priorities. Coordinate account teams, customer success teams, partners, and systems integrators to accelerate adoption, consumption, revenue, renewals, and long-term customer outcomes.

Leads AI transformation consulting from business development through delivery. Owns pipeline, executive sales, pricing, proposals, client engagements, AI working sessions, prototypes, change management, account growth, partner delivery, and commercial outcomes. The role combines consultative selling with hands-on AI capability building, executive communication, and enterprise transformation leadership across multiple accounts.