Staff AI Platform Developer [590] at D-Wave Quantum

Job description

D-Wave Quantum Inc. (NASDAQ: QBTS) is a leader in the development and delivery of quantum computing systems, software, and services. It is the world’s first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave’s mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap™ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com . About the role D-Wave is seeking a Staff AI Platform Developer to lead the architecture and development of internal AI tooling across the company. In this role, you will help us build practical tools using LLMs, AI agents, retrieval-augmented generation, workflow automation, and AI-assisted development capabilities. Your work will help D-Wavers work faster and more effectively while keeping our internal tools secure, maintainable, reliable, and cost-effective. As part of D-Wave's software organization, you will work with our Product Development teams to create AI-powered solutions to address high-value internal use cases that move the needle in terms of productivity, quality, security, or job satisfaction. You will be a hands-on architect and builder who can take ideas from prototype to production, determine when AI is the right solution, and select the AI-powered tools and technologies best suited to each use case. No quantum computing knowledge is required, but you will have the opportunity to learn about this next generation of computing. What you'll do Drive the adoption of AI capabilities across D-Wave’s Product Development teams Lead the architecture and implementation of internal AI solutions, including LLM applications, agents, RAG systems, and workflow automation Build prototypes and production services that integrate with internal systems such as GitHub, Jira, Slack, documentation platforms, service desks, and business applications Partner with DevOps to design and create reusable platform components for model access, prompt/configuration management, permissions-aware retrieval, logging, monitoring, evaluation, and cost tracking Evaluate and select AI models, APIs, tools, and vendors with a focus on quality, reliability, security, privacy, latency, and cost Design guardrails for data handling, access control, prompt injection, output validation, audit logging, and human-in-the-loop review Transition production ready AI solutions back to the Product Development teams for long term ownership and ongoing support Help teams automate internal workflows and adopt AI solutions in practical, safe, and measurable ways Document patterns and best practices so other developers can build AI-enabled tools consistently Track adoption, user feedback, operational reliability, and cost to ensure the AI solutions deliver measurable value Promote responsible AI practices (usage policies, guardrails, and data handling standards) across development teams Lead AI office hours and facilitate technical knowledge sharing across engineering teams. Participate in the yearly D-Wave Hackathon where you can bring new ideas to life Join the on-call rotation to help ensure the high availability and reliability of D-Wave applications – 6 to 12 months after starting About you Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience 7+ years of professional experience in software engineering, platform engineering, internal tool development, DevOps, ML systems, or a related discipline Extensive