Applied AI Solutions Architect – Ottawa

TechInsights 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. Over 650 companies and 150,000 users access the TechInsights Platform, which includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary.

As an Applied AI Solutions Architect, you'll turn real business problems into working AI solutions that deliver measurable results for TechInsights 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 role 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 TechInsights 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.

This position requires you to submit your latest citizenship and/or permanent residency information as part of the recruitment process. Accommodations are available on request for candidates taking part in all aspects of the selection process.