Lead Architect in Vancouver

Lead Architect in Vancouver

Vancouver Full-Time 123750 - 151250 $ / year (est.) On-site
H

At a Glance

  • Tasks: Lead the design of next-gen cloud, data, and AI platforms.
  • Company: Join a forward-thinking tech company shaping the future of AI and data systems.
  • Benefits: Attractive salary, full-time position, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on innovation and mentorship.
  • Why this job: Make a significant impact in a high-stakes role with cutting-edge technology.
  • Qualifications: 15+ years in software engineering with expertise in data systems and AI/ML.

The predicted salary is between 123750 - 151250 $ per year.

We’re looking for a Lead Architect to define the next generation of cloud, data, and AI platforms. This is a high‑impact technical leadership role that spans system design, platform scalability, and data intelligence, ensuring our architecture remains resilient, extensible, and AI‑ready as we scale.

Core responsibilities:

  • Define and evolve platform architecture across data, AI, and core systems.
  • Partner with product and engineering leadership to align architecture with long‑term business strategy.
  • Guide technology decisions balancing innovation, maintainability, and performance.
  • Drive the design of scalable, secure, and reliable distributed systems spanning APIs, data pipelines, integrations, and infrastructure.

Hands‑on technical skills:

  • Lead complex architectural and design reviews across multiple teams.
  • Build reference architectures, proofs of concept, and technical standards that accelerate velocity, raise the bar in engineering excellence, and improve developer experience.
  • Partner with Data and AI teams to design next‑gen AI infrastructure and systems that enable intelligent automation.
  • Champion modern engineering practices, including CI/CD, observability, security, and reliability.
  • Stay current on emerging technologies (AI/ML, cloud, large‑scale distributed systems) and bring the right innovations into our stack.

Required:

  • 15+ years of software engineering experience, including 5+ years in senior or architectural roles.
  • Deep expertise in data systems, distributed architecture, and AI/ML infrastructure.
  • Strong experience with cloud‑native platforms (AWS, GCP, or Azure) and modern frameworks (e.g., Python, React, TypeScript, or similar).
  • Proven ability to design and deliver scalable, maintainable systems in production environments.
  • Strong understanding of API design, event‑driven systems, data modeling, and CI/CD practices.

Preferred:

  • Experience integrating AI/ML systems into production environments.
  • Experience with data pipelines, warehouses, or streaming systems.
  • Track record of mentoring engineers and guiding system‑level technical decisions.
  • Experience in SaaS, fintech, or enterprise product environments.

Base pay range CA$200,000.00/yr - CA$250,000.00/yr

Seniority Level: Mid‑Senior level

Employment Type: Full‑time (Full‑time, Permanent)

Job Function: Information Technology and Other; Industries: Financial Services, IT System Custom Software Development, and Software Development.

EAO: We are an equal opportunity employer. All qualified applicants will receive consideration.

Lead Architect in Vancouver employer: Harvey Nash

Join a forward-thinking Physical AI company that prioritizes innovation and employee growth. As a Cloud Platform Engineer, you'll be part of a collaborative work culture that values creativity and technical excellence, with ample opportunities for professional development in a rapidly evolving field. Located in a vibrant tech hub, this role offers unique advantages such as access to industry-leading resources and a supportive environment that fosters meaningful contributions to real-world AI applications.

H

Contact Details:

Harvey Nash Recruitment Team

We think you need these skills to ace Lead Architect in Vancouver

Cloud Architecture
Data Systems Design
Distributed Architecture
AI/ML Infrastructure
API Design
Event-Driven Systems
Data Modeling