Remote AI Cloud Solutions Architect for Enterprise Adoption

Apex Systems; Toronto; On-site; CAD 140,000 - 190,000; Full time

Job summary

Apex Systems invites a Digital Cloud Solution Architect to drive enterprise adoption of AI-powered productivity solutions and secure data governance. This remote, 10-month contract role requires hands-on AI deployment and strong engagement with global client teams.

Responsibilities include guiding cloud platform architectures, governance, and adoption programs, while collaborating with executives to tie AI initiatives to business outcomes. Candidates should be distributed across time zones.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• Hands-on AI deployment experience required.
• Experience across global teams and C-suite audiences.
• Strong English and Spanish language skills (bilingual preferred).
• Proven track record leading customer technical projects.

Responsibilities

• Lead enterprise adoption of AI-powered tools.
• Provide technical guidance across cloud platforms and governance models.
• Design and deploy AI solutions aligned to business outcomes.
• Remove blockers across identity, security, licensing, and platform readiness.
• Enable secure AI adoption with data protection and governance.
• Drive end-user adoption and change management programs.
• Engage executives to connect AI usage to measurable business outcomes.
• Manage adoption milestones across assigned accounts.
• Identify expansion opportunities through usage signals.
• Lead technical communities and cross-functional teams.

Skills

English & Spanish

Enterprise customer-facing

Cloud platforms

AI deployment experience

Security & governance

Intelligent agents

Education

Bachelor’s degree or equivalent

Job description

Apex Systems invites a Digital Cloud Solution Architect to drive enterprise adoption of AI-powered productivity solutions and secure data governance. This remote, 10-month contract role requires hands-on AI deployment and strong engagement with global client teams.

Responsibilities include guiding cloud platform architectures, governance, and adoption programs, while collaborating with executives to tie AI initiatives to business outcomes. Candidates should be distributed across time zones.