Cybersecurity Solutions Architect/Engineer

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

Cybersecurity Solutions Architect/Engineer
General Description

We are looking for a skilled Cybersecurity Solutions Architect/Engineerto apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization

The Cybersecurity Solutions Architect/Engineer will leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Responds to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team’s mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
About the Federal Region

GuidePoint Security is the trusted partner that defense and civilian government agencies rely on to lead their cybersecurity efforts and protect their organizations. We help solve their most complex security challenges, mature security architectures, and proactively reduce risk. Our purpose-built solutions ensure compliance, safeguard critical assets, and align security with organizational objectives. Backed by deep expertise, strong partnerships, and advanced technologies, we deliver scalable, adaptive capabilities that evolve with the threat landscape so Federal agencies can lead with confidence and protect what’s next.
Required Experience and Education

- A minimum of eight (8) years’ relevant experience.

- A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field, then four additional years of related experience is required.

- Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement – all developed over many years of client work delivering solutions.

- Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments

- Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.

- Manages 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).

- Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.

- Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes.

- 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

Additional Provisions

- Pass a client mandated clearance process to include drug screening, crim