Senior AI DevOps Developer [584]
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: .
About the role
D-Wave is seeking an experienced AI Platform DevOps Engineer to join our Product Development team. In this role, you will design, build, deploy, andoperateAI-powered tools, platforms, and workflows that improve developer productivity, automate repetitive tasks, reduce operational overhead, and accelerate the delivery of our quantum computing technologies.
Working alongside talented DevOps engineers and Product Development teams, you will help build and evolve our internal AI platform, integrating technologies such as Amazon Bedrock, AI agents, n8n, Artifactory,ArgoCD, and other supporting services into scalable, secure, and reliable development workflows.
You will play a key role in designing and operating AI-powered development, on-call, and agentic workflows, partnering across engineering teams to prioritize, implement, and continuously improve AI initiatives that enable innovation across the organization.
What you'll do
- Design, implement, andoperateour internal AI tools platform
- Work with our development teams to streamline our internal AI build processes and release management(build processes and release management processes that incorporate AI (to function) and build processes and release management of AI-related tools, solutions, workflows)via continuous integration and deployment pipelines
- Build andoperatedeployment pipelines for models, prompts, and evaluations, including versioning, cost tracking, and rollback strategies
- Participate in security reviews and compliance efforts, designing and implementing the security controls, access rules, and service configurations needed to meet those requirements
- Apply DevOps best practices to testing and monitoring, continuously improving the performance, durability, and reliability of our internal AI platform
- Respond to operational incidents and development questions related to our internal AI platform and perform root-cause analysis
- Continuouslymonitorand improve the performance, durability, and reliability of our internal AI platform
- Promote AI best practices (usage policies, guardrails, and data handling standards) across development teams in-compliancewith company policy
- Participate in AI office hours and lead group discussions
- Lead AI platform architecture discussions relating to model and design tradeoffs
- Join the on-call rotation to help ensure the high availability and reliability of D-Wave applications
Required
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience
- 5+ years of experience designing, deploying,operating, and troubleshooting modern cloud-based and on-premises infrastructure, DevOps platforms, or SaaS/PaaS environments
- Hands-on experience building and supporting production AI applications, including LLM applications, AI agents, workflow automation, or generative AI solutions
- Strong understanding of the LLM application stack, including prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, reranking, contex