Fully RemoteEngineeringUnited States
Salary
Not listed
Posted
32m ago
Source
himalayas
Cybersecurity Solutions ArchitectAI ML EngineerData ScienceCybersecurity EngineerSolutions Architect
Triangle Cyber is seeking a Cybersecurity Solutions Architect/Engineer for a U.S. federal client. The ideal candidate will have significant experience with Databricks and developing expert-level AI/ML analytic solutions that analyze very large volumes of data from disparate sources to detect cybersecurity threats and fraud schemes.
NOTE: This position will close at 5 p.m. on Wednesday, September 9, 2026
Required
- Must be a U.S. Citizen and reside in the United States, including Alaska and Hawaii.
- Must hold a Bachelor of Science degree (minimum) in a relevant technical field of study (Computer Science, Engineering, etc.).
- Must have a minimum of eight (8) years of relevant experience, including Databricks, AI/ML, and data analytics.
- Must be an expert in data science and AI/ML concepts used for fraud detection
- Must have deep expertise in AI/ML solution development, data science, data strategy and governance, and customer and stakeholder engagement, along with hands‑on experience designing AI‑powered solutions that integrate large language models, computer vision, and advanced analytics within secure, high‑performance environments
- Must be able to direct specialized teams comprising data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments
- Must be able to manage delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS)
- Must have advanced skills applying AI/ML tools to accelerate business activities, including but not limited to programming and script development
- Must have expert-level knowledge of:
- AI/ML Solution Architecture
- Data Science and Advanced Analytics
- Technology Strategy and Implementation
- Data Strategy and Governance
- MLOps and Model Lifecycle Management
- Azure Databricks
- Python, SQL, R Development
Before you apply
- Confirm async-friendly culture vs daily standup-heavy expectations
- Ask about on-call rotation and incident expectations
- Check the tech stack matches what you actually want to use day-to-day
Interested in this role?
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