Solution Architect, Forward Deployed Architecture (AI Capability Center) - 2 Openings
- Employment type
- Full-time · On-site
- Posted
- September 27, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 11/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. Urban Ridge Supplies is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Solution Architect, Forward Deployed Architecture (AI Capability Center) - 2 Openings in Ontario
Median $120,000 per year, with most postings between $116,325 and $135,000 (Architects, 2026-08, 23 postings). This posting does not state a salary.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Extensive experience in solution architecture
- Deep knowledge of AI/ML technologies and applications
- Experience with forward-deployed or on-site consulting models
- Strong understanding of enterprise architecture principles
- Proven track record with client-facing technical roles
Fit check
Is this role right for you?
Top skills this posting asks for:
- Solution Architecture
- AI/Machine Learning
- Cloud Architecture
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What you'll do
- Design and architect AI solutions for client organizations
- Lead technical strategy and capability development
- Work directly with clients in forward-deployed model
- Develop and implement AI capability solutions
- Mentor and guide technical teams
- Evaluate and recommend technology solutions
- Drive digital transformation initiatives
- Build and strengthen client relationships
- Contribute to Huron's AI Capability Center evolution
What you'll need
- Extensive experience in solution architecture
- Deep knowledge of AI/ML technologies and applications
- Experience with forward-deployed or on-site consulting models
- Strong understanding of enterprise architecture principles
- Proven track record with client-facing technical roles
- Cloud platform expertise (AWS, Azure, or GCP)
- Ability to translate business requirements into technical solutions