Applied AI Solutions Architect

TechInsights

. Own business problems from start to finish and confirm expected outcomes with business sponsors .

Posted 10/20/2026full-timeRemote • United StatesMid-LevelSenior💰 $206,890 - $219,060 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in solution architecture and engineering, with a strong focus on building scalable, AI-driven solutions. Proficient in collaborating across teams to deliver high-quality, production-ready outcomes while effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

Solution ArchitectureLarge Language Models (LLMs)AI Coding ToolsAmazon Web Services (AWS)Technical Project Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Solution EngineeringData RetrievalPrototype DevelopmentAcceptance Criteria DocumentationTest Plan DefinitionPerformance MeasurementIntegration DevelopmentUser Interface DesignAI Output Quality EvaluationProblem Decomposition

Soft Skills

Excellent CommunicationCollaborative Decision-MakingCritical ThinkingAttention to DetailConflict Resolution

Tools & Technologies

Claude CodeAI AgentsDeterministic ToolsIntegrationsUser InterfacesSite Reliability EngineeringModel Context Protocol (MCP)

Certifications & Qualifications

Bachelor's Degree in Computer ScienceLegally Eligible to Work in the United States

Industry Keywords

Export Control Laws and RegulationsBusiness Problem SolvingIncremental Value DeliveryQuality AssuranceScalable Solutions

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

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
Decompose problems into 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
Set success metrics, measure usage, AI output quality and business impact, and iterate based on results and feedback

Requirements

What you’ll need

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 paired 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 spot underlying issues and 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
Latest citizenship and/or permanent residency information required for U.S. Export Control Laws and Regulations compliance
Must be legally eligible to work in the United States; sponsorship requirements addressed in application

Benefits

Comp & perks

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