Enterprise Architect

Core Scientific, Inc; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Core Scientific, Inc. seeks a senior investigator to validate enterprise systems and refine digital workflows. You will map control surfaces across ERP, CRM, data pipelines, APIs, and integrations to surface structural inefficiencies and risk.

AI-assisted workflows will surface anomalies, quantify exposure, and model revenue impact. Leverage Python, SQL, and API interactions to validate assumptions, design hardened control programs, and communicate findings to engineering and operations

Qualifications

• Experience with AI-assisted workflows for investigation and validation.
• Ability to write lightweight scripts in Python and query structured data with SQL.
• Familiarity with APIs, data pipelines, and automation frameworks.

Responsibilities

• Investigate enterprise systems to ensure digital workflows reflect operational realities.
• Analyze control surfaces across ERP/CRM/data pipelines and identify weaknesses.
• Use AI-assisted workflows to surface anomalies and model performance impact.
• Translate findings into executive-level analyses connected to revenue and margins.

Tools

Python

SQL

APIs

AI Tools

Job description

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.

Responsibilities

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. Perform other duties as assigned.

Qualifications

We are intentionally open to unconventional backgrounds. Exceptional candidates may have experience as a senior technical leader responsible for building and hardening systems under pressure; a systems engineer or platform architect who has diagnosed and repaired structural fragility; a forensic or investigative professional with strong technical depth; a security or controls engineer with enterprise exposure; or a senior operator who has eliminated operational debt while scaling performance. 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.

Travel

Occasional travel will be required up to 25%.

Work Environment

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.