Principal AI/ML Engineer

Jobgether

British Columbia

Hybrid

CAD 142,000 - 284,000

Full time

2 days ago
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Benefits offered by this job

Annual salary with incentives
Remote work arrangement
Health & wellbeing benefits
Professional development

Job summary

Jobgether is seeking a Principal AI/ML Engineer based in Canada to lead design and development of cloud-native platforms. You will guide teams, craft scalable subsystems, and drive architectural decisions in a primarily remote environment, mentoring engineers and shaping long-term technical direction.

Applicants should have a strong background in software engineering, cloud architecture, and leadership, with expertise in Python/Java/Golang/JavaScript and Kubernetes-based microservices.

Qualifications

  • Bachelor's or master's degree in CS, Engineering, Information Systems, or a related field.
  • Typically 7–10 years of relevant professional software engineering experience.
  • Strong programming skills in Python, Java, Golang, or JavaScript.
  • Solid understanding of microservices and containerized architectures in Kubernetes.
  • Experience designing software across multi-platform architectures with cloud-native considerations.
  • Strong knowledge of software testing methodologies and tooling.
  • Excellent communication and leadership abilities, with mentoring capabilities.
  • Ability to review designs and code, ensuring adherence to engineering standards.

Responsibilities

  • Lead engineering teams through design, development, testing, and integration of complex cloud-based products and platforms.
  • Design scalable, efficient cloud subsystems to support advanced software solutions.
  • Review technical designs, test plans, and source code to ensure quality and standards.
  • Provide technical leadership, coaching, and mentorship to engineers.
  • Drive innovation by evaluating and integrating new technologies into systems.
  • Collaborate with cross-functional teams to align engineering solutions with product requirements.

Skills

Python
Java
Golang
JavaScript
Kubernetes
Microservices
Test automation
Leadership
Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal AI/ML Engineer based in British Columbia, Canada.

The Principal AI/ML Engineer will provide senior technical leadership in the design and development of sophisticated cloud-based products, platforms, and software systems. This role combines deep engineering expertise with architectural vision, helping teams build scalable, reliable, and efficient cloud-native solutions. You will lead complex technical projects from solution design and coding through testing and integration, while ensuring high standards of quality and performance. As a recognized subject matter expert, you will influence technical direction, introduce innovative technologies, and help solve challenging engineering problems. You will also mentor fellow engineers and collaborate across functional teams in a primarily remote working environment.

Accountabilities:
  • Lead engineering project teams through the design, analysis, development, coding, testing, and integration of complex products and platforms.

  • Design and build efficient, scalable, and robust cloud subsystems that support advanced software solutions.

  • Review technical designs, test plans, and source code to ensure compliance with cloud architecture principles, development guidelines, and engineering standards.

  • Provide actionable feedback to improve product quality, strengthen engineering practices, and mitigate technical risks.

  • Represent the engineering team in technical forums, contributing expertise and guidance to cross-functional initiatives.

  • Provide technical leadership, coaching, and mentorship to less-experienced engineers, supporting their professional development.

  • Drive innovation by evaluating and integrating new technologies into software systems and engineering projects.

  • Analyze complex science, engineering, business, application, system administration, and network-related challenges.

  • Develop and implement effective solutions to complex software and infrastructure problems.

  • Exercise independent judgment when selecting technical approaches and determining the best methods to achieve project objectives.

  • Collaborate with technical and functional teams to align engineering solutions with product requirements and broader organizational goals.

Requirements:

You are an experienced software engineering professional with strong technical judgment, advanced programming capabilities, and a track record of delivering complex cloud-based solutions. You can communicate architectural decisions effectively, guide engineering teams, and translate challenging technical requirements into robust implementations. The ideal candidate will bring:

  • A bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a closely related quantitative discipline.

  • Typically 7-10 years of relevant professional experience in software engineering or a related technical field.

  • Strong programming skills in one or more of the following languages: Python, Java, Golang, or JavaScript.

  • Solid understanding of microservices architecture and the design of containerized applications in Kubernetes-managed environments.

  • Experience designing and integrating software systems across multiple platforms within broader technical architectures.

  • Strong knowledge of software testing methodologies, including test planning, test execution, debugging, and the development of testing scripts and tools.

  • Ability to review technical designs and code, identify potential issues, and ensure adherence to engineering standards.

  • Experience developing scalable, reliable, and efficient cloud-native applications and subsystems.

  • Strong analytical and problem-solving skills, with the ability to address complex application, infrastructure, and system-related challenges.

  • Excellent written and verbal communication skills, including the ability to present software architectures and technical proposals to senior management.

  • Proven ability to work independently, exercise sound technical judgment, and contribute to cross-functional engineering initiatives.

  • Leadership and mentoring capabilities, with the ability to guide technical teams and support the development of other engineers.

Benefits:
  • Annual base salary ranging from C$141,500 to C$283,500, depending on geographic location, experience, education, training, and skill level.

  • Potential variable incentives in addition to base compensation.

  • Comprehensive health and wellbeing benefits designed to support physical, financial, and emotional wellness.

  • Benefits information for Canadian employees is available in the employee benefits brochure.

  • Primarily remote working arrangement, allowing you to work from home.

  • Personal and professional development programs, with opportunities to pursue career goals and expand expertise.

  • Inclusive working environment that values diverse backgrounds, perspectives, and individual contributions.

  • Accessibility accommodations available throughout the application and interview process.

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