Applied AI Solutions Architect (Remote USA)

TechInsights•, (Multiple States)
•$206,890 - $219,060•Remote

About The Position

The Applied AI Solutions Architect turns business problems into working AI solutions that produce measurable results for TechInsights and its customers. The role partners with Product Managers, analysts, and customers to identify pain points, then designs and builds end-to-end solutions involving AI agents, tools, integrations, and workflows. It combines business analysis, solution architecture, and hands-on delivery, using AI coding tools to move from ideas to production. The position is remote and based in the United States. The expected salary range is $206,890–$219,060 USD. Recruitment requires submission of current citizenship and/or permanent residency information for compliance with U.S. Export Control Laws and Regulations. AI technology may assist with application screening and assessment, with recruiters involved throughout and hiring decisions made by People and hiring teams.

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, 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 working style combined with the ability to make decisions and commit to timelines.
  • Bias for action and iteration, strong organization, and attention to detail.
  • Strong critical thinking and ability to identify underlying issues and implications of decisions.

Nice To Haves

  • Experience with Claude Code or similar AI coding tools.
  • Experience with Amazon Web Services (AWS) and Model Context Protocol (MCP) integrations.

Responsibilities

  • 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 to deliver value incrementally.
  • Break problems into appropriate components, including AI agents, deterministic tools, data retrieval, integrations, user interfaces, and human review; use AI where it adds value.
  • Design appropriately scaled 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 end-to-end solutions, including agents, skills, tools, connectors, integrations, and user interfaces.
  • Use Claude Code and other AI coding tools in delivery, reviewing their 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.

Benefits

  • Company-sponsored training and development opportunities.
  • Comprehensive benefits package including health, dental, vision, wellness, and RRSP/401K matching.
  • 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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