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Added 1 min ago
Absence, Time Tracking & Payroll Lead, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
Full-time
…end-to-end, payroll parallel, and user acceptance testing. Develops test scenarios and cases to validate payroll calculations, leave and absence rules, accruals, time entry, scheduling,…
Added 1 min ago
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Full-time
Test repaired equipment to confirm safe and proper operation.
Added 15 mins ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
…and/or specific UI requirements, create the control surface, test and deploy. The role requires in-depth knowledge of VUE configuration options including building and modifying device…
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$56,000 to $67,000 CAD / year
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Full Stack Developer
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Ottawa, ON · Kanata, ON
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Vancouver, BC
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Toronto, ON
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design, fabrication, test and iterative improvement of physical test fixtures including electrical contacts, mechanical assembly, and liquid flow cell access for functionalization and test…
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Ericsson

AI Software & Data Engineering Developer

Ottawa, ON, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Grow with us

At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.

About This Opportunity

Ericsson is looking for an AI Software & Data Engineering Developer to join our team in Ottawa, Canada. In this role, you will contribute to building new functionality as part of Ericsson's AI transformation within BNEW R&D, helping create scalable, secure, and data-driven AI solutions that improve R&D efficiency and enable customer deployments across RAN.

The RAN Reliability System in Customer Deployment Evolution team is a group of software developers and data scientists building AI solutions to increase R&D efficiency and support customer deployments. You will help transform ideas and prototypes into maintainable software products by combining strong engineering practices, AI/ML knowledge, and practical data engineering skills. We are looking for someone who is organized, curious, open to emerging technologies, and motivated to solve complex challenges collaboratively. This is a hybrid position with an expectation of approximately 60% in-office presence.

What you will do:

Develop AI solutions to scale and industrialize at the RAN level, transforming troubleshooting on a common foundation to scale from customer to design.
Take technical ownership for the design, implementation, integration, verification, deployment, and continuous improvement of AI-enabled software solutions.
Build data engineering capabilities, including data ingestion, transformation, validation, quality checks, metadata handling, reusable pipelines, and reliable processing of engineering data for AI and analytics use cases.
Work with internal engineering data - such as logs, telemetry, test results, CI/CD results, trouble reports, and code review information - while respecting security, confidentiality, and access control requirements.
Integrate AI solutions into software development workflows, including Git-based development, Gerrit/code review, continuous integration, automated testing, secure development practices, and vulnerability management.
Collaborate with developers, data scientists, architects, product owners, and R&D stakeholders to ensure solutions are scalable, maintainable, secure, and aligned with Ericsson's ways of working.
Support colleagues through mentorship, contribute to design reviews, and help the team adopt AI-assisted development and data-driven approaches responsibly.

The Skills You Bring

A Bachelor's or Master's degree in Computer Science or a related field; equivalent hands-on experience is equally valued.
Approximately 6+ years of experience in software development, preferably in telecommunications software, with a background in cloud-native and/or custom software using containers, Kubernetes, Python, Java, shell scripting, and Linux environments.
Demonstrated experience integrating AI/ML into software workflows, including AI-assisted development, automated testing, LLMs, retrieval-augmented generation (RAG), prompt engineering, and domain-specific model adaptation.
Solid understanding of CI/CD, Git-based workflows, Gerrit/code review, automated verification, secure development, DevSecOps, and vulnerability management in large-scale R&D environments.
Practical data engineering experience, including ingestion, transformation, validation, data quality, metadata, traceability, access control, reliable pipelines, and operational monitoring.
Experience using engineering data from development, integration, testing, troubleshooting, and CI/CD to create AI-ready datasets and actionable insights.
Ability to design scalable, maintainable, and secure AI solutions and turn prototypes into reusable, well-supported software components.
Experience contributing to technical direction and improving engineering practices across teams.
Strong analytical and communication skills; familiarity with 5G NR, LTE RAN, or Cloud RAN is a strong asset.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: Canada (CA) || Ottawa (Country/ City)

Job details: Developer

Compensation And Benefits At Ericsson

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay

The salary offered is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

The salary range for this position is

Ottawa: $101,500. - $133,350.

Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

Your Health

Ericsson offers excellent health benefits including the choice of 3 medical and dental plan options that allow an employee to select the level of coverage that suits their needs. Core level coverage is paid for fully by Ericsson.

Your Financial Security

We invest in both your short and long-term financial wellbeing. Ericsson’s Group Retirement & Savings Program offers an automatic 2% company contribution into the Pension Plan. Ericsson also offers a 50% match of employee’s contribution into the Registered Retirement Savings Plan, up to 8% of the employee’s contribution (maximum of 4% match). This leads to a total company contribution potential of 6%. Employees will also receive basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay at no cost, as well as short-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

Your Time

Your work-life balance is important to us. New employees are provided a minimum of 18 days of accrued vacation, plus at least 3personal days, minimum 10 holidays, 1 volunteer day, and sick days. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 10 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

Additional Benefits

Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, wellness account, and recognition programs.

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More about this job

Responsibilities

Develop and take technical ownership of scalable, secure AI-enabled software solutions, from design and implementation through verification, deployment, and continuous improvement. Build reliable data pipelines for engineering data and integrate AI solutions into development workflows while collaborating with R&D teams and supporting responsible adoption of AI-assisted development.

Requirements

A bachelor's or master's degree in computer science or a related field is sought, or equivalent hands-on experience, along with approximately six or more years of software development experience. Candidates should bring AI/ML workflow integration and practical data engineering experience, familiarity with cloud-native tools and secure CI/CD practices, and strong analytical and communication skills; RAN knowledge is an asset.

Skills

AI/ML Integration
Data Engineering
Python
Java
Shell Scripting
Linux
Containers
Kubernetes
CI/CD
Git
Gerrit
Automated Testing
DevSecOps
Retrieval-Augmented Generation
Prompt Engineering
Telecommunications Software

Benefits

Annual Bonus
Medical Insurance
Dental Insurance
Pension Plan
Registered Retirement Savings Plan Matching
Life Insurance
Accidental Death and Dismemberment Insurance
Short-Term Disability Coverage
Stock Purchase Plan
Vacation
Personal Days
Paid Holidays
Volunteer Day
Sick Days
Paid Maternity Leave
Paid Parental and Adoption Leave
Financial Wellness Programs
Educational Assistance
Matching Gifts
Wellness Account
Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Engineering
Python
Java
Shell Scripting
Linux
Containers
Kubernetes
Cloud-Native Software
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Domain-Specific Model Adaptation
CI/CD
Git
Gerrit
Automated Testing
DevSecOps
Vulnerability Management
Data Ingestion
Data Transformation
Data Validation
Data Quality
Metadata
Engineering Data
5G NR
LTE RAN
Cloud RAN
Telecommunications

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