Staff AI Platform Developer [590]
- Pay
- $167,000 – $230,000 per year
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 7+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- LLM applications
- retrieval-augmented generation
- agentic orchestration frameworks
- Python
- REST APIs
Also useful
- AWS
- Kubernetes
- Docker
- Terraform
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 experience developing across the LLM application stack: prompt engineering, retrieval-augmented generation (RAG), embeddings, vector search, reranking), context management, structured outputs, and tool use
- Extensive experience with agentic orchestration frameworks and interoperability protocols (MCP, ACP)
- Experience evaluating, fine-tuning, securing (guardrails), and cost-optimizing LLM systems in production
- Strong proficiency in Python, TypeScript/JavaScript, or another modern language used for backend services and automation
- Experience designing, implementing, and consuming REST APIs and backend services
- Experience with Git, CI/CD, Linux/Unix environments, containers, and production deployment workflows
- Experience building AI solutions that securely leverage sensitive internal data and company knowledge sources
- Excellent written and verbal technical communication skills, including requirements capture and technical documentation
- Ability to work across teams, clarify ambiguous problems, and turn business workflows into practical technical solutions
- Self-motivated, proactive, flexible, curious, and committed to continuous learning
Bonus (Nice to have)
- Experience with AWS, Kubernetes, Docker, Terraform, or other cloud and infrastructure tools
- Experience integrating with Slack, Jira, GitHub, Confluence, Google Workspace, Salesforce, Zendesk, ServiceNow, or similar systems
- Experience with self-hosted, open-source, or private AI model deployments
- Experience in quantum computing, scientific computing, hardware/software systems, or other highly technical domains
A D-Waver's DNA
We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
- We practice straight talk and listen generously to each other with empathy.
- We value different opinions and points of views.
- We ensure that we connect outside as well as inside to learn from others and inspire each other.
- We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
- As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.
Pay and benefits
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
The Fine Print: No 3rd party candidates will be accepted
The base pay range for this role is: 167,000 - 230,000 CAD per year (Canada)
167,000 - 230,000 USD per year (United States)
- About Company ---
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:.
Equal opportunity and legal notices
It is D-Wave policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
From D-Wave Quantum's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Staff AI Platform Developer [590] role at D-Wave Quantum?
The Staff AI Platform Developer [590] posting at D-Wave Quantum states compensation of $167,000 – $230,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on D-Wave Quantum's official career site.
Where is the Staff AI Platform Developer [590] job at D-Wave Quantum located?
Yes, this Staff AI Platform Developer [590] opening at D-Wave Quantum is listed as Remote (US). Always check D-Wave Quantum's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff AI Platform Developer [590] at D-Wave Quantum?
For the Staff AI Platform Developer [590] role, D-Wave Quantum highlights 7+ years of relevant experience; a bachelor's degree; experience with LLM applications, retrieval-augmented generation, agentic orchestration frameworks, Python, REST APIs. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff AI Platform Developer [590] position at D-Wave Quantum?
This listing links directly to D-Wave Quantum's Rippling application page. You can apply directly on D-Wave Quantum's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Rippling application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.