AI & Digital Transformation Intern

3001 TC USA Services Inc; Spokane (WA); Hybride; USD 25 000 - 39 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Résumé du poste

TC Energy is seeking a Student Intern in Spokane, WA to support digital transformation and AI initiatives. You will identify opportunities for agentic AI, develop AI tools, and assist in data architecture improvements while collaborating with internal stakeholders.

The role offers a May 2027–August 2027 term with hybrid work options and relocation eligibility. Applicants should be pursuing CS/CE and returning to full-time studies after the internship.

Qualifications

• Currently enrolled in an accredited Computer Science or Computer Engineering undergraduate degree or related program.
• Completion of at least one academic term prior to the start of the work term in May 2027.
• Returning to full-time studies immediately following the work term.
• Availability to work full-time (40 hours per week) for the duration of the work term.

Responsabilités

• Identify and assess internal processes suitable for agentic AI solutions.
• Collaborate with internal stakeholders to communicate AI/digital transformation goals.
• Identify issues and develop mitigation strategies for AI initiatives.
• Develop simple in-house AI tools and AI agent components.
• Collaborate with third-party developers and internal stakeholders to refine AI agents.
• Support AI agent training and data architecture refinement.
• Deliver AI-focused presentations to stakeholders and leadership.
• Develop implementation and change management plans and monitor post-implementation value.

Connaissances

Agentic AI

Interpersonal skills

Communication

Analytical thinking

Time management

Formation

CS/CE undergraduate

Completed at least one term

Outils

Excel

PowerPoint

Power BI

Description du poste

TC Energy is seeking a Student Intern in Spokane, WA to support digital transformation and AI initiatives. You will identify opportunities for agentic AI, develop AI tools, and assist in data architecture improvements while collaborating with internal stakeholders.

The role offers a May 2027–August 2027 term with hybrid work options and relocation eligibility. Applicants should be pursuing CS/CE and returning to full-time studies after the internship.