AI Systems Engineer

Location: Peterborough, Ontario

Language: Excellent written and spoken English communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences

About the Opportunity

Join a highly specialized engineering environment where you’ll help shape the digital future of complex, mission-critical work in a highly regulated industry. This is a 12 months contract with potential to convert to permanent as a Systems Engineer role combines systems engineering discipline with hands-on software development, digitalization, automation, and practical AI implementation.

You’ll work across Systems, Software, I&C, Mechanical Engineering, Information Technology, Quality, and project teams to deliver secure, reliable, traceable, and maintainable digital solutions. It’s an opportunity to set technical direction, solve meaningful workflow challenges, and help turn promising digital and AI concepts into stable, supportable solutions.

What’s In It for You

• Work on high-impact digitalization and engineering initiatives with broad organizational visibility

• Build practical AI capabilities that improve engineering information, document, and workflow processes

• Collaborate with multidisciplinary technical teams in a highly regulated environment

• Gain exposure to projects spanning requirements, architecture, development, testing, deployment, and operational handover

• Join a culture that values innovation, disciplined engineering, collaboration, and continuous improvement

Your Responsibilities

• You’ll lead or support the design and implementation of ECMS digital solutions from requirements through deployment and operational handover

• You’ll develop, test, document, and maintain software tools, back-end services, APIs, databases, integrations, automation services, and workflow components

• You’ll identify and implement practical AI use cases, including intelligent search, information extraction, classification, summarization, and knowledge retrieval

• You’ll define system requirements, architecture, interfaces, data flows, test evidence, and technical documentation while maintaining traceability

• You’ll apply source control, peer review, automated testing, release management, configuration management, and secure software practices

• You’ll support FMEA, verification, commissioning, risk management, user acceptance testing, training, adoption, and issue resolution

• You’ll provide technical direction and stakeholder guidance while managing assigned work against scope, schedule, budget, quality, and performance objectives

Skills and Qualifications

• Demonstrated engineering and software experience, supported by a Bachelor’s degree in Software Engineering, Computer Engineering, Systems Engineering, Electrical Engineering, Computer Science, or a related discipline

• Hands-on experience building software tools, applications, back-end services, integrations, or automation solutions

• Proficiency in at least one modern back-end programming language, with experience using APIs, databases, data models, and source control

• Practical experience developing, integrating, or deploying AI or machine-learning-enabled solutions, including evaluation and production considerations

• Experience translating business and engineering needs into requirements, architecture, interfaces, designs, test evidence, and maintainable documentation

• Knowledge of cybersecurity, privacy, data governance, software quality, and responsible AI, with cloud, CI/CD, containerization, RAG, LLM, NLP, or intelligent search experience considered an asset

• Professional Engineering licence in Ontario, or eligibility and active progress toward licensure, is an asset, along with experience using IBM DOORS, Siemens Polarion, Jama Connect, or similar requirements-management tools

Note from the Hiring Manager

“We’re looking for someone who can combine disciplined systems thinking with hands-on software and AI capability. The right person will be comfortable moving from technical discovery and prototyping through to reliable implementation, while bringing teams together around practical solutions.”