Join Motive as a Senior AI Platform Engineer to design and operate production AI systems on cloud infrastructure.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Design, build, and ship production services
- Own the full lifecycle of software development
- Build and operate production AI systems
- Architect AWS/GCP environments
- Optimize cloud and AI spend
Must have
- 5+ years of professional software development
- Shipped backend services/APIs
- Production AI/ML experience
- Strong Python plus a second stack
- AWS or GCP with Kubernetes, Terraform
Nice to have
- Full-stack (React/Next.js)
- Vector databases
- Inference optimization
- FinOps tooling
- SOX/SOC 2
AI in the day-to-day
The Motive platform integrates AI to automate and simplify tasks, providing visibility and control over operations.
Requirements
- Experience
- 5+ years
- Visa
- No sponsorship (stated in posting)
Benefits
Joblaze summary
The Senior AI Platform Engineer at Motive is responsible for developing and deploying production software and AI systems on cloud infrastructure, ensuring reliability and cost-effectiveness. Key skills include proficiency in Python and experience with cloud platforms like AWS or GCP, alongside a solid understanding of AI/ML technologies. This role is suited for seasoned engineers with a strong background in production systems and a focus on optimizing costs. The position emphasizes collaboration with various stakeholders to enhance software performance and reduce operational expenses.
Joblaze insights
- Listed today — first seen on Joblaze October 23, 2026. Last confirmed on Motive's careers page October 23, 2026.
- Starts above 9% of 11 comparable senior ai/ml roles in Canada we track (median $116,312 across 8 companies).
- Python appears in 56.3% of 32 comparable senior ai/ml roles in Canada; Kubernetes appears in 3.1% of 32 comparable senior ai/ml roles in Canada.
Quick facts
- Is the Senior AI Platform Engineer role remote?
- It's hybrid — Motive expects some on-site time in Toronto, Canada.
- What's the salary range?
- Motive lists CAD 137,000–CAD 165,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior AI Platform Engineer role.
- Where is the role based?
- Motive is hiring for this position in Toronto, Canada.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, GCP, Go, Java, Kubernetes, Node.
- What seniority level is this role?
- Motive targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior AI Platform Engineer role at Motive.
From the original posting
Who we are:
Visit gomotive.com to learn more.
About the Role
Senior engineer who ships production software and AI systems on cloud infrastructure that is reliable, secure, and cost-disciplined. You design applications and services, operate inference platforms and pipelines, and treat unit economics (tokens, GPU-hours, idle capacity) as engineering constraints.
You partner with product, engineering, and business stakeholders to deliver working software, higher reliability, and lower cost per unit of AI value.
What You Will Do
Software development
- Design, build, and ship production services, APIs, and (where needed) user-facing interfaces.
- Own the full lifecycle: implementation, tests, code review, CI/CD, deploy, and maintenance.
- Write maintainable code in Python plus one more stack (TypeScript/Node, Go, or Java).
AI engineering
- Build and operate production AI systems: RAG, evaluation, fine-tuning, serving, and inference optimization.
- Turn prototypes into reusable platform capabilities with CI/CD, eval, and governance.
Cloud infrastructure
- Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD for apps and model pipelines.
- Own observability and incident response; partner on SOC 2/SOX and least-privilege IAM.
Cost control
- Treat cloud and AI spend as an engineering problem: visibility, attribution, budgets, and reduction.
- Optimize GPUs, inference routing, model choice, and right-sizing; track cost per request/token and GPU idle.
What We're Looking For
Required
- 5+ years of professional software development, owning production systems (not only scripts or notebooks).
- Shipped backend services/APIs and production AI/ML (LLMs, RAG, serving).
- Strong Python plus a second stack; PyTorch, TensorFlow, or equivalent serving.
- AWS or GCP with Kubernetes, Terraform, and CI/CD.
- Proven work reducing or governing cloud/AI spend.
- Clear communication of technical and cost tradeoffs; you run what you build.
Preferred
- Full-stack (React/Next.js), vector databases, inference optimization, FinOps tooling, SOX/SOC 2, Copilot/Cursor.
What Success Looks Like
- Production software and AI with SLOs and real ownership — not demos.
- Reliability stays high while GPU and cloud waste trends down.
- Cost per unit of AI value is visible and improving; teams reuse libraries, IaC, and cost guardrails.
Pay Transparency
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.
The compensation range for this position will depend on where you reside. For this role, the compensation range is:
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
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Standard company text repeated across Motive's postings is omitted here.