Lead AI Engineer – Vulnerability Management Specialist (Hybrid)

Swift Transportation•Manassas, VA

22h•$121,564 - $225,762•Hybrid

About The Position

We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we’re proud to support the global economy. We’re unique too. We were established to find a better way for the global financial community to move value – a reliable, safe and secure approach that the community can trust, completely. We’re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions. Swift is unable to sponsor an employment authorization for this position now or in the future.

Requirements

Bachelor's Degree in Cyber Security, Computer Science, Information Systems, or related field
8+ years of professional experience
Strong experience in Vulnerability Management, Attack Surface Management, Security Operations, Exposure Management, or Cybersecurity Risk Management
Hands-on experience with vulnerability assessment and management platforms such as Tenable, Qualys, Rapid7, ServiceNow Vulnerability Response (VR), or equivalent solutions
Experience applying Artificial Intelligence (AI), Machine Learning (ML), predictive analytics, or data science techniques to cybersecurity use cases
Knowledge of Continuous Threat Exposure Management (CTEM), threat intelligence, exploit prediction, attack path analysis, and risk-based vulnerability management methodologies
Strong understanding of CMDB, asset management, configuration management, and security data integration concepts
Experience developing or supporting security automation, workflow orchestration, API integrations, and data pipelines across security platforms
Demonstrated strategic thinking and innovation skills, with the ability to identify improvement opportunities and drive transformational initiatives
Strong stakeholder management, collaboration, and influencing skills, with the ability to build consensus and drive adoption across security, engineering, and technology teams
Self-motivated, results-oriented, and adaptable, with the ability to operate effectively in a dynamic and evolving environment

Responsibilities

Develop and execute the Vulnerability Management AI strategy and roadmap, aligning initiatives with organizational cybersecurity objectives, CTEM adoption, and risk reduction goals
Provide thought leadership on the application of AI within Vulnerability Management, identifying innovative opportunities to improve security outcomes, operational efficiency, and decision-making
Evaluate emerging AI technologies, platforms, and industry best practices to advance the organization's CTEM and exposure management capabilities
Design, develop, and implement AI-enabled solutions that enhance vulnerability discovery, prioritization, remediation, and reporting processes
Develop intelligent automation capabilities to streamline vulnerability triage, assignment, validation, exception handling, and reporting activities
Build and automate integrations with ServiceNow CMDB, Vulnerability Response Module and other enterprise data sources to correlate, enrich, and deduplicate findings across multiple vulnerability assessment platforms
Leverage threat intelligence, exploitability data, asset criticality, attack path analysis, and business context to strengthen risk-based vulnerability prioritization and remediation decision-making
Develop AI-driven recommendations and predictive analytics to improve remediation planning, vulnerability forecasting, and exposure management
Enhance visibility across vulnerability, asset, threat, configuration, and operational data sources to enable a holistic view of cyber risk
Collaborate with SOC, Threat Intelligence, Asset Management, Infrastructure, Engineering, and Application teams to embed AI-driven insights into operational processes and security workflows
Influence and guide stakeholders across security and technology teams to drive adoption of AI-enabled capabilities, promote process transformation, and establish best practices
Define and track success metrics, ensuring continuous improvement in vulnerability remediation effectiveness, operational efficiency, and Security Patching KPI performance
Support the evolution and operationalization of the organization's Continuous Threat Exposure Management (CTEM) program and associated reporting capabilities