Staff AI Platform Developer

Job Description

Job Title: Staff AI Platform Developer. Location: Remote, United States; Canada is also listed as a hiring location.

Job Type: Full-time (Regular employment)

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.