AI Solutions Engineer

Socket.dev; Atlanta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

Socket.dev seeks an AI Portfolio & Cybersecurity Engineer to manage the enterprise AI portfolio and strengthen cyber resilience. You will coordinate governance, design secure AI/LLM solutions, and lead vulnerability management, incident response, and regulatory compliance efforts.

The role requires 3–5 years in cybersecurity or IT engineering, familiarity with AI technologies, and the ability to work with multiple stakeholders to deliver secure, measurable business outcomes.

Qualifications

• Bachelor’s degree or equivalent in cybersecurity, IT, CS, engineering, data science, or related field.
• 3–5 years in cybersecurity, IT engineering, AI solutions, or similar technical role.
• Experience implementing or supporting cybersecurity technologies and enterprise IT systems.
• Working knowledge of AI technologies, LLMs, automation, APIs, cloud platforms, and secure development practices.
• Experience with projects/portfolios: requirements, tracking, risk, stakeholder coordination, executive reporting.
• Hands-on cybersecurity disciplines: vulnerability management, incident response, security operations, or governance, risk, and compliance.
• Familiarity with cybersecurity and AI governance frameworks, data protection principles.
• Relevant certifications (Security+, CySA+, SSCP, CISSP assoc., cloud, PM, or AI credentials) preferred but not required.

Responsibilities

• Manage and coordinate enterprise AI portfolio and governance.
• Coordinate AI business-use-case intake, prioritization, and lifecycle processes.
• Track project schedules, milestones, risks, and value realization.
• Prepare AI portfolio dashboards, reports, and executive updates.
• Collaborate with IT, cybersecurity, Legal, HR, and business units to translate needs into secure AI solutions.
• Support design, build, test, integration, and deployment of AI/LLM solutions.
• Evaluate AI platforms for security, scalability, and business fit.
• Apply AI governance requirements including data protection and regulatory compliance.
• Engineer and maintain cybersecurity tools and supporting technologies.
• Develop automation and AI-driven workflows to improve cybersecurity operations.
• Support vulnerability management, incident response, and governance activities.
• Monitor emerging AI security threats and regulatory trends.
• Create technical docs, procedures, and knowledge-transfer materials.
• Promote secure, responsible AI adoption through stakeholder engagement and training.

Skills

AI governance

Cybersecurity

Vulnerability management

Incident response

Governance & compliance

Stakeholder coordination

Executive reporting

Automation

APIs

Cloud platforms

Education

Bachelor’s degree in Cybersecurity, IT, CS, Engineering, Data Science, or related field

Tools

SIEM

Vulnerability scanners

Job description

Position Overview

The AI Portfolio & Cybersecurity Engineer manages and coordinates the organization's AI portfolio while supporting the design, implementation, and governance of AI and LLM-based solutions. The role also strengthens the organization's cybersecurity capabilities by engineering security tools and assisting with vulnerability management, incident response, and GRC activities. Its purpose is to help translate AI opportunities into secure, governed, and measurable business solutions while improving the organization’s overall cyber resilience.

Responsibilities

• Manage and maintain the enterprise AI portfolio, including proposed, approved, pilot, active, and completed initiatives.
• Coordinate the AI business-use-case intake, evaluation, prioritization, approval, and project lifecycle processes.
• Track AI project schedules, milestones, dependencies, risks, resource needs, costs, benefits, and value realization.
• Prepare AI portfolio dashboards, status reports, metrics, and executive-level updates.
• Partner with business units, IT, cybersecurity, Legal, HR, and other stakeholders to translate business needs into secure AI solutions.
• Assist IT and technical teams with designing, building, testing, integrating, and deploying AI and large language model (LLM) solutions.
• Evaluate AI platforms, models, vendors, and technical architectures for security, functionality, scalability, and business fit.
• Apply AI governance requirements related to data protection, privacy, acceptable use, human oversight, model risk, and regulatory compliance.
• Engineer, install, configure, integrate, maintain, and troubleshoot cybersecurity tools and supporting technologies.
• Develop automation, integrations, and AI-assisted workflows that improve cybersecurity operations and organizational efficiency.
• Support vulnerability management activities, including scanning, analysis, risk prioritization, remediation coordination, validation, and reporting.
• Assist with cybersecurity incident response, including investigation, containment, evidence collection, documentation, recovery, and post-incident review.
• Support governance, risk, and compliance activities, including risk assessments, control evaluations, audits, policy development, and evidence collection.
• Monitor emerging AI technologies, cybersecurity threats, vulnerabilities, regulations, and industry practices.
• Develop technical documentation, implementation procedures, user guidance, and knowledge-transfer materials.
• Promote the secure and responsible adoption of AI through stakeholder consultation, training, and ongoing support.
• Perform other cybersecurity engineering and operational responsibilities as assigned based on organizational priorities.

Education & Experience Requirements

• Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Data Science, or a related field, or equivalent combination of education, certifications, and relevant experience.
• Three to five years of experience in cybersecurity, IT engineering, AI solutions, systems administration, or a related technical role.
• Experience implementing, configuring, integrating, or supporting cybersecurity technologies and enterprise IT systems.
• Working knowledge of AI technologies, large language models, automation, APIs, cloud platforms, and secure solution-development practices.
• Experience supporting projects or portfolios, including requirements gathering, status tracking, risk management, stakeholder coordination, and executive reporting.
• Practical experience in one or more cybersecurity disciplines, such as vulnerability management, incident response, security operations, or governance, risk, and compliance.
• Familiarity with cybersecurity and AI governance frameworks, regulatory requirements, and data-protection principles.
• Relevant certifications - such as Security+, CySA+, SSCP, CISSP Associate, cloud, project management, or AI-related credentials are preferred but not required.

Scope of Duties and Responsibilities

This job description in no way states or implies that these are the only duties to be performed by the employee(s) in this position. Employees will be required to follow any other job-related instructions and perform any other job-related duties requested by supervisors or management. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the employee must possess the required skills, aptitudes, and abilities to perform each duty proficiently.