Top AI Jobs in Vancouver

Lead end-to-end development and scaling of a customer-facing Agentic AI platform. Define roadmap, design prompt strategies and guardrails, partner with engineers and OpenAI, run experiments to improve automation, accuracy, and customer satisfaction.

Lead development and scaling of Jerry.ai's customer-facing Agentic AI platform. Define roadmap, partner with engineers on prompt strategies, guardrails, and APIs, run experiments to improve automation and answer quality, and work with model partners to deploy next-generation voice and workflow automation.

Lead consolidation and platform strategy for prompt-driven AI products. Own prompt migration onto a unified platform, prioritize chatbot engineering work, define architecture, manage the OpenAI/ChatGPT integrations, and coordinate cross-functional teams to stabilize and evolve the agentic AI platform.

Lead development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and workflow automation models, drive experiments to improve answer quality, satisfaction, and automation rates, and establish AI platform standards.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Translate technical requirements across teams, run experiments to improve automation and satisfaction, and partner with OpenAI on voice models and workflow automation.

Lead development and scaling of a customer-facing AI agent platform using LLMs and agents. Define roadmap, design prompt strategies and guardrails, partner with engineering and OpenAI, run experiments to improve automation, accuracy, and customer satisfaction, and establish AI platform standards and evaluation frameworks.

Own and evolve Jerry.ai's AI platform: consolidate prompts into a unified system, prioritize chatbot technical roadmap, manage OpenAI/ChatGPT partnerships, track emerging tech (voicebot, etc.), coordinate cross-functional execution, and use data (SQL) to validate decisions.

Lead end-to-end development and scaling of a customer-facing AI agents platform. Define prompt strategies, evaluation frameworks, guardrails, and APIs. Partner with engineering and OpenAI to deploy voice and automation models, drive experimentation to improve answer quality, satisfaction, and automation rates, and establish platform standards and best practices.

Architect and lead the enterprise AI platform roadmap, building scalable developer environments, multi-modal AI pipelines, agent orchestration, vector-data solutions, RAG/cognitive search capabilities, vendor ecosystems, and guardrails for model observability, drift detection, security, and responsible AI. Collaborate cross-functionally to accelerate adoption and embed AI across the enterprise.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Close new business for GEO/AI search offerings across a territory by owning the full sales cycle. Build outbound-sourced pipeline, run consultative multi-stakeholder processes with senior marketing leaders, forecast accurately in CRM, and partner with Customer Success, Marketing, and Product to drive adoption and upsells.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.

Lead QA for an Agentic AI platform: define and execute testing strategy, implement automation, validate LLM outputs and conversational workflows, oversee functional/integration/regression/performance testing, integrate CI/CD, mentor QA engineers, and promote quality best practices across teams.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

Own end-to-end month‑end close (5-day target), maintain GL and reconciliations, run AP and vendor relationships, automate accounting workflows using AI/LLMs and Python, ensure audit-ready results, support audits and FP&A, and build integrations against NetSuite and financial systems to compress the close.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

The role involves managing large-scale AI infrastructure projects, focusing on deployments, risk management, and cross-functional coordination while ensuring alignment with business objectives.

The engineer supports simple data hall designs, drafts AutoCAD drawings, assists with capacity planning, and learns data center principles under supervision.

Lead large-scale AI infrastructure deployment programs, manage project execution for GPU clusters and data center infrastructure, and mentor junior project managers.

Design and implement product experiences using AI tools across various platforms, translating briefs into functional prototypes while collaborating with teams and maintaining design quality.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Senior Full-Stack Software Engineer will design, build, and maintain secure, scalable web applications using modern technologies, with a focus on AI-assisted development and application security.