Staff AI Platform Developer

Staff AI Platform DeveloperLocation: Remote, United States; Canada is also listed as a hiring location.Responsibilities:Lead the adoption of AI capabilities across D-Wave's Product Development teams.Design and build internal AI solutions, including large language model (LLM) applications, AI agents, retrieval-augmented generation (RAG) systems, and workflow automation.Develop prototypes and production services that integrate with internal systems such as GitHub, Jira, Slack, documentation platforms, service desks, and business applications.Work with DevOps to build reusable platform components for model access, prompt and configuration management, permission-aware retrieval, logging, monitoring, evaluation, and cost tracking.Evaluate and select AI models, APIs, tools, and vendors based on quality, reliability, security, privacy, speed, and cost.Develop safeguards for data handling, access control, prompt injection, output validation, audit logging, and human review.Transfer production-ready AI solutions to Product Development teams for long-term ownership and support.Help teams automate internal workflows and adopt AI safely and effectively, with measurable results.Document development patterns and best practices so other developers can build consistent AI-powered tools.Monitor adoption, user feedback, operational reliability, and costs to measure the value of AI solutions.Promote responsible AI practices, including usage policies, safeguards, and data-handling standards.Lead AI office hours and share technical knowledge across engineering teams.Participate in D-Wave's annual Hackathon.Join the on-call rotation to support application availability and reliability, starting 6 to 12 months after joining.Qualifications:Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.At least 7 years of professional experience in software engineering, platform engineering, internal tools, DevOps, machine learning systems, or a related field.Extensive experience with LLM application development, including prompt engineering, RAG, embeddings, vector search, reranking, context management, structured outputs, and tool use.Extensive experience with agent orchestration frameworks and interoperability protocols such as MCP and ACP.Experience evaluating, fine-tuning, securing, and optimizing the cost of production LLM systems.Strong proficiency in Python, TypeScript, JavaScript, or another modern programming language used for backend services and automation.Experience designing, implementing, and using REST APIs and backend services;Experience with Git, CI/CD, Linux/Unix, containers, and production deployment workflows.Experience building AI solutions that securely use sensitive internal data and company knowledge sources.Excellent written and verbal communication skills, including requirements gathering and technical documentation.Ability to collaborate across teams, clarify unclear problems, and turn business workflows into practical technical solutions.Self-motivated, proactive, flexible, curious, and committed to continuous learning.Preferred:Experience with AWS, Kubernetes, Docker, Terraform, or other cloud and infrastructure tools.Experience integrating systems such as Slack, Jira, GitHub, Confluence, Google Workspace, Salesforce, Zendesk, and ServiceNow.Experience deploying self-hosted, open-source, or private AI models.Experience in quantum computing, scientific computing, or complex hardware and software systems.Benefits and Compensation:United States: $167,000 to $230,000 USD per year.Canada: $167,000 to $230,000 CAD per year.Compensation may include base salary, company equity, bonuses, benefits, and additional perks.The recruiter will explain the total rewards package during the interview process.The final offer will depend on the candidate's skills and proficiency at this level.D-Wave emphasizes career development, employee ownership, collaboration, and an inclusive workplace.Other Information:Work arrangement: Remote, United States. Canada is also listed as a hiring location.Department: Research and Development.Quantum computing experience: Not required. The successful candidate will have opportunities to learn about quantum computing.Third-party applications: Applications submitted through third-party recruiters or agencies will not be accepted.Application safety: Candidates should apply through the official D-Wave Careers website.

D-Wave will never ask applicants to pay fees or make financial commitments.Equal opportunity: D-Wave provides equal employment opportunities regardless of protected characteristics and values diverse perspectives and backgrounds.