Role Targeting, Evidence Baseline, and 16-Week Execution Plan

Differentiate the scope, decision authority, and evidence expected of a Principal SDET versus an AI Quality Engineering Architect.

Extract recurring technical, leadership, and visa-sponsorship signals from representative job postings in India, the UAE, the Netherlands, Poland, and Ireland.

Build a role-readiness matrix that ranks skill and evidence gaps by their impact on hiring outcomes.

Map quantified career achievements to architect-level competencies without disclosing employer-confidential information.

Identify which prior projects can be converted into sanitized architecture case studies for interviews.

Define the problem statement, boundaries, and measurable success criteria for a medium-sized AI quality-engineering portfolio project.

Create a public GitHub repository with pre-commit checks, automated secret scanning, and a repository-history audit procedure.

Construct a 16-week execution plan with recurring coding drills, architecture practice, portfolio milestones, mock interviews, and application-readiness gates.