Enterprise Architect IV
Listed on 2026-03-01
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IT/Tech
Systems Engineer, AI Engineer, Data Engineer
10 years of experience
Architecture Drift Detection & TelemetryDevelop automated mechanisms to detect architectural drift across applications, platforms, infrastructure, and integration points.
Define, evolve, and maintain architecture telemetry models that capture system behavior, configuration, compliance signals, and architecture health indicators.
Integrate drift‑detection controls and telemetry instrumentation into CI/CD pipelines and runtime environments in partnership with domain architects and platform engineering teams.
Produce dashboards, alerts, and metrics that visualize adherence to architecture standards and highlight deviations, risks, and trends.
Architecture‑as‑Code & Policy‑as‑CodeTranslate architecture principles, guardrails, patterns, and non‑functional requirements into machine‑verifiable rules.
Implement and maintain policy‑as‑code frameworks to automate architectural governance.
Model and manage architecture data structures and metadata to support automated analysis, lineage, and decisioning.
Solution Evaluation & Architecture GovernanceConduct solution evaluations, trade‑off analyses, and impact assessments grounded in measurable architectural criteria.
Ensure alignment between business strategies, solution architectures, and technical implementations.
Contribute to the development and evolution of enterprise architecture standards, patterns, and design guidance.
AI‑Driven Analysis & Insight GenerationUse advanced AI prompt techniques—especially Microsoft Copilot Chat—to analyze architecture data, generate insights, recommend solutions, and support decision‑making.
Apply prompt engineering best practices to create reusable prompt libraries, templates, and workflows for architecture and engineering teams.
Communication & LeadershipCommunicate complex architectural concepts clearly to technical and non‑technical audiences.
Prepare executive‑ready presentation materials using Microsoft PowerPoint, Confluence, and other collaboration tools.
Present insights, recommendations, risks, and findings to senior stakeholders in a clear and compelling manner.
QualificationsProven experience in architecture drift detection, architecture‑as‑code, policy‑as‑code, or architecture telemetry.
Strong understanding of enterprise architecture principles, cloud platforms, and modern engineering practices.
Demonstrated expertise in prompt engineering and applied AI usage for technical analysis and solution creation.
Excellent communication, documentation, and executive‑level presentation skills.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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