OUR STORY Tech Insights is the information Platform for the semiconductor industry.
OUR STORY Tech Insights is the information Platform for the semiconductor industry.
Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, Tech Insights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future.
Over 650 companies and 150,000 users access the Tech Insights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary.
Tech Insights’ customers include the most successful technology companies who rely on Tech Insights’ analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit WHY WORK WITH US Company-sponsored training and development opportunities
Comprehensive benefits package (health, dental, vision, wellness, RRSP/401 K Matching, annual fitness reimbursement)
Flexible vacation policy
Trusted device reimbursement program
Community involvement opportunities through charitable alliances: Wellness resources and support
Inclusive environment that prioritizes diversity, equity, and accessibility
High-growth company driven by high performance
Expected salary range: $199,000 - $210,735 CAD
THE CHANCE: As an Applied AI Solutions Architect,



you'll turn real business problems into working AI solutions that deliver measurable results for Tech Insights and our customers.
You'll partner with Product Managers, analysts and customers to uncover pain points, then design and build the solution end to end: AI agents, tools, integrations and workflows.
This is not a traditional development role.
It blends business analysis, solution architecture and hands‑on delivery, using AI coding tools to move quickly from idea to production.
What You’ll Do Own business problems from start to finish, confirming the expected outcome with the business sponsor
Gather requirements directly from Product Managers, analysts and customers; document problem statements, user journeys and acceptance criteria
Prioritize and phase work so value is delivered incrementally
Break each problem into the right building blocks (AI agents, deterministic tools, data retrieval, integrations, user interfaces and human review), using AI only where it adds value
Design right-sized solutions for scalability, performance and cost, aligned with Tech Insights architecture, security and data standards
Collaborate with Product, UX, Site Reliability Engineering and other Architects to define solutions
Build rapid prototypes to validate approaches before full delivery
Build solutions end to end, including agents, skills, tools, connectors, integrations and user interfaces
Use Claude Code and other AI coding tools as a core part of delivery, reviewing output for quality,



security and correctness
Automate repeatable development and operational tasks with AI
Define test plans with the Quality Assurance team and its testing agents
Take solutions from prototype to production, working with Software Development when needed
Set success metrics with sponsors, measure usage, AI output quality and business impact, and iterate based on results and feedback
What You’ll Bring Bachelor's degree in computer science, engineering or a related field, or equivalent practical experience
A track record of taking ambiguous business problems through to production solutions
Hands-on experience building with large language models (LLMs), including agents, tool use, data retrieval and output-quality evaluation
Strong experience in solution architecture and/or solutions engineering
Comfort writing, reviewing and debugging code with AI-based tools
Excellent written and verbal communication, including explaining technical trade-offs to non-technical stakeholders and executives
Confidence leading technical project teams: driving decisions and resolving conflicts constructively
A collaborative style paired with the ability to make decisions and commit to timelines
A bias for action and iteration, strong organization and attention to detail
Strong critical thinking and the ability to spot underlying issues and the implications of decisions
Experience with Claude Code or similar AI coding tools is an asset
Experience with Amazon Web Services (AWS) and Model Context Protocol (MCP) integrations is an asset
As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency informa

📌 Applied ai solutions architect (Quebec City)
🏢 TechInsights
📍 Quebec City