
Applied AI Solutions Architect
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Canada.
• Take ownership of business challenges from initiation to completion and validate expected outcomes with business stakeholders.
• Collect requirements from Product Managers, analysts, and customers; document problem statements, user journeys, and acceptance criteria.
• Prioritize and phase work to ensure incremental value delivery.
• Design solutions leveraging AI agents, deterministic tools, data retrieval, integrations, user interfaces, and human review.
• Create scalable, efficient, and cost-effective solutions that align with architectural, security, and data standards.
• Collaborate with Product, UX, Site Reliability Engineering, and other Architects.
• Develop rapid prototypes to test and validate approaches.
• Construct end-to-end solutions that encompass agents, skills, tools, connectors, integrations, and user interfaces.
• Utilize Claude Code and other AI coding tools, ensuring output quality, security, and accuracy through careful review.
• Automate repetitive development and operational tasks using AI.
• Define testing plans in collaboration with the Quality Assurance team and testing agents.
• Transition solutions from prototype to production, collaborating with Software Development as necessary.
• Establish success metrics, assess usage, AI output quality, and business impact, and iterate based on findings and feedback.
• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience.
• Proven history of transforming ambiguous business issues into production-ready solutions.
• Hands-on experience with large language models (LLMs), including agents, tool utilization, data retrieval, and output-quality assessment.
• Strong background in solution architecture and/or solutions engineering.
• Proficiency in writing, reviewing, and debugging code with AI-based tools.
• Exceptional written and verbal communication skills, including the ability to explain technical trade-offs to non-technical stakeholders and executives.
• Confidence in leading technical project teams, making decisions, and constructively resolving conflicts.
• Collaborative approach with the ability to make decisions and adhere to timelines.
• Strong organizational skills and attention to detail.
• Excellent critical thinking abilities with a knack for identifying underlying issues and decision implications.
• Current citizenship and/or permanent residency information required for compliance with U.S. Export Control Laws and Regulations.
• Legally eligible to work in Canada without sponsorship.
• Experience with Claude Code or similar AI coding tools is a plus.
• Familiarity with Amazon Web Services (AWS) and Model Context Protocol (MCP) integrations is an asset.
• 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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