AI Developer Test Management
Technology, Data & Digital · Data, AI & Analytics · Data Science · Software Engineering
In short
Responsibilities
- Drive the design, development and deployment of Agentic AI solutions for test, such as AI agents for test analysis, test case selection and generation.
- Deploy, operate and scale AI solutions on AWS or other cloud platforms, in close collaboration with tools, CI/CD and infrastructure teams.
- Drive test analysis of 5G and 6G RAN features from study through execution: set and communicate test scope, and secure test coverage and quality.
- Identify the impact and risks of new features on test tools, forecast test environment requirements and follow up their implementation.
- Educate and support the organization on test strategy, efficient testing and the use of AI agents in the test flow.
Requirements
- University education M.Sc/B.Sc in Telecommunication/Electrical Engineering /Computer Science or equivalent experience.
- Hands-on experience building Agentic AI systems in test or design, e.g., LLM-based agents, multi-agent workflows, tool/function calling, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and frameworks such as LangChain/LangGraph, or similar.
- Hands-on experience deploying AI solutions on AWS (e.g., Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3) or another cloud platform (Azure, GCP), including containerization, Infrastructure as Code and cloud security fundamentals.
- Ability to communicate effectively to articulate and convey complex technical information effectively to stakeholders.
- Strong problem-solving skills to devise innovative solutions for testing challenges, and analytical abilities to troubleshoot complex issues.
Desired Qualifications
- Knowledge of telecommunications, 3GPP specifications relevant to 5G NR and RAN software development is an asset.
- Knowledge and hands on experience in Agentic AI solution in test.
- Production-grade AI engineering practice: agent evaluation, guardrails, observability, cost optimization and MLOps/LLMOps.
- AWS or other cloud certifications (e.g., AWS Solutions Architect, AWS Machine Learning / AI Practitioner).
- Python proficiency and experience integrating AI agents with test tools, CI/CD pipelines and RAN lab environments.
Benefits
- Competitive salary range: 69,000 - 86,000 CAD
- Opportunity for an annual bonus based on business and individual performance.
- Choice of 3 medical and dental plan options with core coverage paid for by Ericsson.
- Ericsson’s Group Retirement & Savings Program with automatic 2% company contribution and up to a 4% match on employee contributions to RRSP.
- Basic life insurance and accidental death and dismemberment coverage at two-times annual base pay at no cost.
- Short-term disability coverage.
- Option to participate in Ericsson’s Stock Purchase Plan.
- 18 days of accrued vacation, 3 personal days, 10 holidays, 1 volunteer day, and sick days.
- Up to 10 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
- Financial wellness programs, educational assistance, matching gifts, wellness account, and recognition programs.
Skills
Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible
Company
EricssonJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Salary
CA$69,000–86,000 / year
Experience Level
Mid-Senior
Locations
Ottawa, Canada
Qualification
Applicants
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