Applied AI Solutions Architect

🕒 October 20

🇨🇦 Canada – Remote

💵 $174.1k - $184.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

Where this job comes from

Posted on TechInsights's careers page, not through a job board

First seen by Remote Rocketship October 20

Still open on TechInsights's site. Checked 3 hours ago.

Logo of TechInsights

TechInsights

201 - 500 employees

Founded 1989

💼 Consulting

🏭 Manufacturing

Consulting • Manufacturing • Semiconductor

TechInsights is the authoritative information platform for the semiconductor industry, offering the world’s largest collection of unmatched reverse engineering, teardown, and market analysis. The company provides in-depth, actionable insights to aid businesses in making informed decisions about design, product development, and market strategies. Customers include successful technology companies that rely on TechInsights' analyses to make faster and more confident business decisions. Their services include detailed reports and insights on semiconductor technologies, sustainability, and trends such as 5G, AI, and automotive innovation.

📋 Description

• Own business problems from start to finish and confirm expected outcomes with business sponsors • Gather requirements from Product Managers, analysts and customers; document problem statements, user journeys and acceptance criteria • Prioritize and phase work for incremental value delivery • Design solutions using AI agents, deterministic tools, data retrieval, integrations, user interfaces and human review • Design scalable, performant and cost-effective solutions aligned with architecture, security and data standards • Collaborate with Product, UX, Site Reliability Engineering and other Architects • Build rapid prototypes to validate approaches • Build end-to-end solutions including agents, skills, tools, connectors, integrations and user interfaces • Use Claude Code and other AI coding tools, reviewing output for quality, security and correctness • Automate repeatable development and operational tasks with AI • Define test plans with the Quality Assurance team and testing agents • Take solutions from prototype to production, working with Software Development when needed • Define success metrics, measure usage, AI output quality and business impact, and iterate based on results and feedback

🎯 Requirements

• Bachelor's degree in computer science, engineering or a related field, or equivalent practical experience • 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 • Collaborative style with the ability to make decisions and commit to timelines • Strong organization and attention to detail • Strong critical thinking and ability to identify underlying issues and decision implications • Latest citizenship and/or permanent residency information required for U.S. Export Control Laws and Regulations compliance • Legally eligible to work in Canada without sponsorship • 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

🏖️ Benefits

• Company-sponsored training and development opportunities • Comprehensive benefits package including health, dental, vision, wellness, RRSP/401K Matching, and annual fitness reimbursement • Flexible vacation policy • Trusted device reimbursement program • Community involvement opportunities through charitable alliances • Wellness resources and support • Inclusive environment prioritizing diversity, equity, and accessibility

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