AI (Artificial Intelligence) Security Infrastructure Engineer

TEKEngineersInc; United States; Remote; USD 165,000 - 248,000; Part time

Job summary

TEKEngineersInc is seeking an AI Security Infrastructure Engineer to bridge cutting-edge AI innovation with core infrastructure security. You will drive security strategies for Generative AI/LLM platforms, architect and implement secure AI workloads, and collaborate across business lines to ensure robust, auditable security controls while maintaining reliability and governance.

The role emphasizes advanced security engineering, incident resolution collaboration, and staying current with AI

Qualifications

• Experience in architecting, engineering, designing, building and documenting security solutions.

Responsibilities

• Lead security engineering efforts for Generative AI and LLM platforms.
• Architect and implement security solutions integrated with existing enterprise security tooling.
• Collaborate with multiple teams to deliver secure AI workloads and governance.
• Address threats such as prompt injection and data leakage while maintaining reliability and logging.

Skills

AI workload protection

APIs/REST integrations

OAuth/tokens authentication

SIEM (Splunk)

SIEM (Microsoft Sentinel)

Cloud platforms

EDR technologies

AI security/LLM guardrails

DevSecOps / IaC

Python / Bash / PowerShell

Security Architecture

Security principles (net/app)

Education

Bachelor's degree in CS/Engineering

Security certifications (CISSP/CCSP)

Tools

Azure

AWS

Google Cloud Platform

Splunk

Microsoft Sentinel

Job description

Job Title: AI (Artificial Intelligence) Security Infrastructure Engineer

Location: Remote

Duration: 6 Months

• We are seeking an AI Security Infrastructure Engineer to be a key technical leader, bridging the gap between cutting-edge AI innovation and core infrastructure security. Your mission will be to drive forward-looking security strategies and engineering solutions for Generative AI and LLM platforms, while specializing in leveraging AI security capabilities to augment and fortify existing enterprise solutions.The Engineer must be up to date with the latest security technologies, AI security threats and relevant architecture.
• The Security Engineer has advanced experience in the security space and possesses an Engineering mindset, including but not limited to being able to identify the root cause of complex problems and collaborate with teams or vendors to resolve problems or incidents.
• The successful candidate must have demonstrated advanced ability to architect, engineer, design, build, support and document solutions in these areas of Security Engineering. The successful candidate will also work closely with multiple different lines of business and other Security Engineering teams to ensure built solutions enhance productivity and add value to the organization.
• This results of the Engineer's work ensures that AI workloads are protected against threats such as prompt injection, data leakage, and malicious content, while also maintaining system reliability, logging, and integration with enterprise security tooling.

Technical Skills:

Experience with:

• Solution, policy and architecture design along with experience of operation, integration, monitoring, and security management of security Applications.
• AI workload protection against various threats
• APIs, REST integrations, and authentication (OAuth, tokens)
• SIEM tools (Splunk, Sentinel)
• Cloud platforms (Azure, AWS, Google Cloud Platform)
• EDR technologies and platforms
• AI security / LLM guardrails
• DevSecOps / infrastructure-as-code
• Scripting/automation (examples include Python, bash and PowerShell)

Strong understanding of:

• Application security and network security principles
• AI/LLM risks (prompt injection, data leakage, etc.)
• Firewalls(application/proxy), intrusion detection systems, authentication mechanisms, and networking protocols including but not limited to SMTP, HTTP(s), DNS, TCP/IP, and SNMP as they pertain to security solutions

Education and Accreditation

• University, post-graduate degree or 6 years experience in a relevant role or field
• Strong academic background (e.g., computer science, engineering)
• Certification in one or more security certifications, Cloud and AI certifications e.g. CISSP, CCSP are an asset but not required