Solution Architect

Calgary, Calgary region

On-site

Full-time

No salary posted5 days ago

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Employment type: Full-time · On-site
Posted: October 30, 2026
Province: Alberta (AB)

Hiring confidence: Sparse posting · 22/100

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

Jobs

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ABOUT US At xMentium, we help enterprises turn their unstructured language and documents into structured, usable data at scale. Our AI-powered platform, anchored by xTract, transforms sprawling repositories of contracts, licenses, technical documentation, communications, and other business-critical documents into clean, queryable metadata that powers analytics, agents, and downstream systems. We work across industries, including media and entertainment, oil and gas, manufacturing, real estate, …

This role is based in Alberta. xMentium, Inc. 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 Alberta

Average salary for Solution Architect in Alberta

Median $120,000 per year, with most postings between $120,000 and $171,600 (Architects, 2026-05, 7 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

Experience architecting enterprise solutions
Understanding of AI/ML platforms and capabilities
Knowledge of document processing and data extraction
Enterprise software experience
Cross-industry exposure preferred

Fit check

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What you'll do

Design solutions to transform unstructured language and documents into structured data
Architect implementations of AI-powered platform for enterprise clients
Work across multiple industries including media, oil and gas, manufacturing, real estate
Create technical strategies for analytics and downstream systems integration
Develop queryable metadata solutions for business-critical documents

What you'll need

Experience architecting enterprise solutions
Understanding of AI/ML platforms and capabilities
Knowledge of document processing and data extraction
Enterprise software experience
Cross-industry exposure preferred