THE OPPORTUNITY: 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 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 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.
As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.
WORKING ARRANGEMENTOn-site role based in the Ottawa, Ontario.
