AI Solutions Engineer

Superior Essex; Atlanta (GA); On-site; USD 105,000 - 145,000; Full time

Job summary

Superior Essex seeks an AI Solutions Engineer to manage the organization’s AI portfolio and support secure, governed AI/LLM-based solutions. You will collaborate with IT, cybersecurity, Legal, HR, and business units to translate needs into secure AI tools and contribute to governance, risk, and compliance activities.

You will help strengthen cyber resilience by engineering security tools, supporting vulnerability management, incident response, and GRC activities, while promoting secure and

Qualifications

• Bachelor’s degree in Cybersecurity, IT, CS, 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—Security+, CySA+, SSCP, CISSP Associate, cloud, project management, or AI-related credentials—preferred but not required.

Responsibilities

• Manage and maintain the enterprise AI portfolio across initiatives from proposed to completed.
• Coordinate AI business-use-case intake, evaluation, prioritization, approval, and project lifecycle.
• Track AI project schedules, milestones, risks, resource needs, costs, and value realization.
• Prepare AI portfolio dashboards, status reports, metrics, and executive updates.
• Partner with IT, cybersecurity, Legal, HR, and other stakeholders to secure AI solutions.
• Assist IT and technical teams with designing, building, testing, and deploying AI/LLM solutions.
• Evaluate AI platforms, models, vendors, and architectures for security and scalability.
• Apply AI governance requirements related to data protection, privacy, acceptable use, and model risk.

Skills

Cybersecurity

AI technologies

Cloud platforms

Stakeholder coordination

Executive reporting

Vulnerability management

Education

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

Tools

AI platforms

LLM models

APIs

Cloud platforms

Job description

AI Solutions Engineer

#26-335

Atlanta, Georgia, United States

AI Solutions Engineer-10246

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.

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