AI Agent Engineer developing LLM - based AI solutions for cybersecurity at CrowdStrike. Leading AI agent development and optimizing performance with modern frameworks and technologies.
About the role
- Lead Water Resources Engineer/Sr. Modeler designing hydrologic and hydraulic solutions at EXP. Involves technical leadership, project management, and collaboration for sustainable outcomes.
Responsibilities
- Lead the development and application of hydrologic and hydraulic models (e.g., HEC-RAS, HEC-HMS, SWMM, MIKE, Info Works).
- Conduct floodplain mapping, risk assessments, and mitigation planning.
- Analyze surface water systems including rivers, streams, and urban drainage networks.
- Interpret and present modeling results to stakeholders, clients, and regulatory agencies.
- Prepare technical reports, proposals, and presentations.
- Mentor junior staff and contribute to technical excellence across projects.
- Collaborate with GIS specialists, engineers, and planners to integrate modeling with spatial analysis and infrastructure design.
- Stay current with industry trends, regulatory changes, and emerging technologies.
Requirements
- Bachelor’s or master’s degree in Civil Engineering, Environmental Engineering, Hydrology, or a related field.
- Minimum of 10 years of professional experience in water resources modeling.
- Proficiency in industry-standard modeling software (e.g., HEC-RAS 2D, HEC-HMS, SWMM, MIKE, Info Works ICM).
- Strong understanding of hydrologic and hydraulic principles, floodplain management, and stormwater systems.
- Experience with GIS tools (ArcGIS, QGIS) and data integration.
- Excellent written and verbal communication skills.
- Proven ability to manage projects, meet deadlines, and work collaboratively.
- Professional Engineer (P.Eng.) designation or eligibility is preferred.
- Familiarity with provincial and federal water management regulations.
- Experience working with municipalities, conservation authorities, or government agencies.
- Experience with climate change impact assessments and resiliency planning.
- Knowledge of scripting or automation tools (Python, MATLAB) for model enhancement.
Benefits
- Employee Referral Bonus: $5000
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