Enterprise Architect

Enterprise Architect

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly. We transform energy into high-value compute with unmatched efficiency at scale. The company is an $11 billion publicly traded company (NASDAQ: CORZ).

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations. Our footprint consists of 11 data center campuses across seven states, housing advanced infrastructure for our customers.

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific.

This is not a compliance or audit function. It is a high-trust, senior individual contributor role embedded within live enterprise systems with direct access to the CTO and visibility aligned with CEO mandate.

Investigate enterprise systems to ensure that digital workflows reflect operational, financial, and revenue-generating reality.

Map control surfaces across ERP, CRM, data pipelines, automation frameworks, APIs, and integrations, identifying structural weaknesses or inefficiencies.

Analyze reconciliation logic embedded within tooling and validate that assumptions remain sound under current scale and transaction velocity.

Detect privilege creep, access model drift, override frequency, structural permission risk, and hidden inefficiencies embedded in nuisance technology.

Examine automation layers for masked control failures, redundant workflows, and process friction that suppress throughput.

Redesign or reinforce enterprise control frameworks where necessary, strengthening architecture without introducing bureaucratic drag.

Use structured data analysis, scripting, and AI-accelerated investigative workflows to surface anomalies, quantify exposure, and model performance impact.

Translate technical findings into executive-level analysis that connects control integrity to margin protection, decision velocity, and revenue acceleration.

Partner with engineering and operations leaders to eliminate structural inefficiencies and convert fragile workflows into hardened programs.

Strengthen traceability, documentation, and institutional memory so that system durability scales with growth.

Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization

Performs other duties as assigned

You are likely a solution-oriented operator who derives energy from untangling nuisance technology, cleaning up degraded workflows, and eliminating inefficiencies that others tolerate.

Think in systems and control surfaces rather than isolated incidents.

Understand that structural failure often begins as unmanaged drift.

Recognize operational debt embedded in tooling and process before it becomes material loss.

Are materially focused and capable of distinguishing signal from noise.

Remain calm and precise in ambiguous environments.

Are comfortable operating without formal signature authority.

Can interrogate systems without destabilizing trust.

Thrive on turning fragility into engineered durability.

Prefer building hardened programs over writing policies.

AI proficiency is foundational in this role. You are expected to use AI as a primary analytical engine, a bridging mechanism between systems, and a general-purpose accelerator for investigation, modeling, and solution design. This includes building repeatable AI-assisted workflows that combine data extraction, anomaly detection, hypothesis testing, and structured reporting.

Querying structured data using SQL or similar tools.

Writing lightweight scripts in languages such as Python to validate assumptions and test system behavior.

Navigating APIs, integration layers, automation frameworks, and permission hierarchies.

Using AI to synthesize findings, stress-test logic, generate diagnostic artifacts, and accelerate technical validation.

Distinguishing between superficial AI usage and disciplined, reproducible AI-driven system interrogation.

You do not need to be a full-time software engineer. However, you must be technically literate enough to move beyond dashboards and into underlying system logic, and disciplined enough to operationalize AI into repeatable investigative infrastructure.

Austin, TX or Miami, FL. While proximity to our core offices is preferred, we prioritize capability and alignment with mandate and will consider remote candidates where appropriate.

Occasional travel will be required up to 25%.

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role will also travel to data center sites and the work environment at a data center may contain loud noise, construction and other operational elements,

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. Some nights and weekends may be required.

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