AI & Automation Engineer (Enterprise)
New
M
Magnet ForensicsDigital investigative software
Listing location: Waterloo / Ottawa, Ontario / Toronto, Ontario / Canada; Workplace type: RemoteFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience designing and delivering automation, integration, or AI-enabled solutions in a business or enterprise environment.
- Required Skills
- PythonSQLSalesforceNetSuite
Requirements
- Have 4+ years of experience designing and delivering automation, integration, or AI-enabled solutions in a business or enterprise environment.
- Have experience applying AI to business workflows using Claude, Copilot, Gemini, or similar tools.
- Be able to evaluate where AI adds value and understand risks involving accuracy, data handling, and appropriate use.
- Have hands-on experience with automation platforms, enterprise business systems, APIs, and integrations.
- Have experience with at least one of Python, PowerShell, JavaScript/TypeScript, C#, or Bash.
- Have working knowledge of SQL and structured data formats such as JSON and YAML.
- Have strong process analysis skills to identify opportunities for automation, simplification, and operational improvement.
- Have experience testing, deploying, documenting, and supporting solutions in a production environment.
- Be able to communicate with technical and non-technical stakeholders and translate business needs into practical solutions.
- Have strong problem-solving skills and be able to manage multiple priorities independently.
- Be prepared to demonstrate hands-on coding skills during the interview process.
Responsibilities
- Partner with Business Applications, Data & Analytics, and IT teams to identify automation and AI opportunities.
- Analyze and document business processes, assess potential solutions, and recommend an effective approach.
- Design, build, configure, and integrate automation and AI-enabled solutions across enterprise systems and platforms.
- Test, deploy, and monitor solutions for reliability, security, and business outcomes.
- Create documentation, deliver training, and transition solutions to process owners for ongoing support and maintenance.
- Stay current on AI and automation capabilities and recommend opportunities to improve efficiency and effectiveness.
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