Most AI projects never make it to production. They start with good intentions, a pilot here, a proof of concept there, but without a clear outcome defined, the right workflows identified, or a plan to deploy and measure, they stall. At Architech, we take a different approach. AI creates value when workflows are redesigned, not when tasks are automated. We work with operationally complex organizations to redesign their workflows with AI and put them into production. Outcomes…
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Redesigning workflows with AI. Deploying them in production. Proving the results.
Full company description
Most AI projects never make it to production. They start with good intentions, a pilot here, a proof of concept there, but without a clear outcome defined, the right workflows identified, or a plan to deploy and measure, they stall.
At Architech, we take a different approach. AI creates value when workflows are redesigned, not when tasks are automated. We work with operationally complex organizations to redesign their workflows with AI and put them into production. Outcomes are measured in production, not claimed in presentations.
We've been designing and building critical business systems for 22 years. Today, we’re focused on bringing that same rigour to help leaders move from AI exploration to measurable results in production.
If you're ready to move beyond pilots, we'd love to talk.
LinkedIn followers
40,148
People associated on LinkedIn
252
Reported office locations
180 John St, Toronto, Ontario M5T 1X5, CA
pl. Juliusza Kossaka 3/8, Kraków, 31-106 31-106, PL
Botega, CO
Hydrabad, IN
Business categories
Software
Enterprise Applications
Web Development
Consumer Applications
Cloud Computing
Mobile
Other recorded names
Architech Solutions
Architech
Specialties
UI/UX Design
Software Architecture
Cloud-Native Development
Mobile Development
API Development
Platform Development
DevOps
DevSecOps
Cloud Application Managed Services
Application Modernization
Digital Transformation
Agile Engineering
Design Thinking
Artificial Intelligence
AI Powered Applications
AI Agents
Agentic AI
MCP
ML Ops
Predictive Analytics
AI Ops
AI Managed Services
AI Search
AI Powered Automation
and AI Powered Document Intelligent
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
6+ YOEArchitech Solutions needs candidates with 6+ years of software design experience, a computer science, math or engineering background, and hands-on AI and cloud architecture skills. Experience with Kubernetes, messaging platforms, Azure or GCP, and at least one major programming language is required.
Kubernetes, Apache Kafka, ActiveMQ, RabbitMQ, Azure AI, Google Vertex AI
15+ YOECandidates need 15+ years in enterprise technology, consulting, or AI or cloud sales, with a record of $5M+ in annual new-client sales. They also need solid knowledge of Azure AI, OpenAI, Google Cloud and data modernization, and experience co-selling with hyperscale partners.
7+ YOECandidates need 7+ years in data architecture or engineering, including 2+ years on the Microsoft Azure data ecosystem. Strong experience with Microsoft Fabric, Azure Data Factory, Synapse, Power BI, SQL and Python is required.
Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks
20+ YOECandidates need experience with customer churn prediction, Python or R, SQL, Databricks and machine learning frameworks. Strong feature engineering, large-scale data skills, statistical modelling and clear communication with technical and non-technical audiences are also needed.
5+ YOECandidates need 5+ years in digital product management or ownership, a bachelor's or master's degree, and hands-on Agile experience. Strong analytics, communication and stakeholder skills are required, and AI knowledge is an advantage.
3+ YOECandidates need a bachelor's degree in data science, statistics, marketing or a related field, plus 3+ years of digital analytics experience. They should know tools like Google Analytics, Adobe Analytics and Tag Manager, and SQL and Python.
Google Analytics, Adobe Analytics, Dynatrace, Quantum Metric, Firebase, Google Tag Manager