Senior Process Engineer providing discipline support in energy sector projects at Wood. Leveraging extensive process engineering knowledge for diverse client needs in Eastern Canada operations.
About the role
- Join Colombus Consulting to enhance AI practices and tools in business processes. Play a key role in optimizing automation and user experiences within the company.
Responsibilities
- Contribute to the development and continuous improvement of our AI practices and associated tools
- Optimize and automate processes
- Deploy new intelligent tools
- Improve the user experience for our employees
- Deploy AI and promote AI awareness internally
- Raise awareness and train employees in AI usage (workshops, guides, materials, creation of MOOCs, etc.)
- Provide user support to our employees
- Collect internal initiatives from the firm
- Co-create and run AI roadmaps with the firm's business teams
- Contribute to managing the integration of tools within Colombus Consulting's IT ecosystem
- Monitor application of data quality rules
- Design and maintain AI best practices (governance, quality, responsible use)
- Internal communication and follow-up: ensure communication relays with internal bodies
- Improve internal processes and automation
- Optimize and digitalize internal processes: project management, reporting, knowledge management, activity tracking, etc.
- Propose, test and deploy innovative tools: internal AI assistants, automated agents/workflows, dashboards, content generators, etc.
- Support Data & AI consultants in integrating AI into their engagements: task automation, analysis support, delivery optimization
- Help teams integrate AI into their methodologies (structuring, advising, scoping)
- Develop tools and prototypes to meet business or client needs
- Watch and innovate
- Monitor AI technologies, no-code/low-code, automation, security and emerging technologies
- Conduct tool benchmarks, document and recommend solutions adapted to the needs of the firm's support teams (recruitment, order management, finance, etc.)
Requirements
- Degree from a leading engineering school
- Passionate about AI, automation and innovative tools
- Comfortable with Generative AI (e.g., Copilot)
- Prompt engineering
- Automation tools (e.g., Power Automate)
- Development (e.g., Python or JavaScript)
- Prototyping (e.g., Replit or Lovable)
- Collaborative tools (notably SharePoint and Azure)
- Cloud production deployment (GCP, Azure, Vercel, etc.)
- Ability to review, understand and debug code
- Knowledge of security, access governance and software quality (SSO, permission management, GDPR)
- Prior experience (including internships) in developing tools, automations or prototypes (Python, APIs, no-code/low-code, scripts) is an asset
- Experience deploying AI applications/assistants in a professional environment is a plus
- Excellent interpersonal skills, with a strong inclination for collaborative work and supporting teams
Benefits
- Commitment, rigor, benevolence, boldness
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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