AI Security Engineer

ZealHire Inc.; Fort Worth (TX); Hybride; USD 120 000 - 180 000; Temps partiel

Résumé du poste

ZealHire Inc. in Fort Worth is seeking an experienced AI Security Engineer to join our global cybersecurity team. You will support vulnerability management, security operations, and AI-driven security initiatives, building secure Python applications and RESTful APIs.

The role requires strong Python skills, experience with AI, cloud environments, and CI/CD, with hybrid work and collaboration with leadership and security teams. Prior hands-on security software development is essential.

Qualifications

• Strong Python programming experience.
• Experience building and deploying AI applications.
• Experience creating automation for cybersecurity teams.
• Ability to develop production applications, APIs, and integrations.
• Azure AI Foundry experience is highly important.
• Python is the primary language.
• Experience with LLMs, AI agents, RAG, guardrails, and AI evaluation is valuable.
• Cybersecurity knowledge to build security use-case apps.
• 3–5 years of vulnerability management.
• 3–5 years of cybersecurity engineering.
• 3–5 years of full SDLC experience designing, developing, testing, deploying, and supporting enterprise apps.
• Professional experience with application design, development, and open-source technologies.
• Strong hands-on Python application development.

Responsabilités

• Design, develop, test, deploy, and maintain scalable cybersecurity and AI applications.
• Build Python apps, RESTful APIs with FastAPI, and enterprise integrations.
• Develop and maintain ETL workflows, data ingestion pipelines, and automated data-processing solutions.
• Design secure integrations with third-party platforms, databases, cloud services, and enterprise apps.
• Support vulnerability management and cybersecurity engineering across enterprise environments.
• Develop threat detection and incident response processes for security incidents.

Connaissances

Python

AI applications

Automation

RESTful APIs

LLMs / AI agents

Vulnerability management

Cybersecurity engineering

Production software development

Cloud environments

Docker / Kubernetes

CI/CD / GitHub Actions

Outils

FastAPI

Azure

AWS

Docker

Kubernetes

GitHub Actions

Mezzo/Mesmo

Description du poste

• Candidate should have all the required skill.

Location: 4700 American Boulevard Fort Worth, TX 76155 (Hybrid)Need locals only with verified location

Durations: 6-12+ Months with possible extension and conversions.

Interview Process: Two rounds – first virtual, second onsite

Job Overview:

We are seeking an experienced AI Security Engineer to join a global cybersecurity team. This Level 3/Level 4 engineer will support vulnerability management, security operations, cybersecurity engineering, software development, and AI-driven security initiatives.The ideal candidate has hands-on experience developing secure Python applications, building cybersecurity solutions, supporting cloud environments, and designing AI-powered applications using large language models, RAG, automation, and enterprise integrations.This role requires strong technical skills, excellent communication, and the ability to work closely with senior leadership, project managers, security teams, and business stakeholders.

Required:

• Strong Python programming experience.
• Experience building and deploying AI applications.
• Experience creating automation for cybersecurity teams.
• Ability to develop production applications, APIs, and integrations.
• Azure AI Foundry experience is highly important.
• Python is the primary language.
• Java is a secondary option.
• Experience with LLMs, AI agents, RAG, guardrails, and AI evaluation is valuable.
• Cybersecurity knowledge is needed so the candidate can build applications for security use cases.
• 3–5 years of experience in vulnerability management.
• 3–5 years of experience in cybersecurity engineering.
• 3–5 years of full Software Development Life Cycle experience designing, developing, testing, deploying, and supporting enterprise applications in production environments.
• Professional experience with application design, development, and open-source technologies.
• Strong hands-on experience with Python application development.
• Experience developing RESTful APIs, preferably with FastAPI.
• Experience with databases, data pipelines, ETL workflows, and enterprise integrations.
• Experience with source control, automated testing, code reviews, and secure deployment practices.
• Experience with cloud environments such as Azure and/or AWS.
• Experience with Docker, Kubernetes, CI/CD pipelines, and GitHub Actions.
• Understanding of cybersecurity operations, vulnerability management, threat detection, incident response, and security governance.

Preferred:

• Master’s degree in Computer Science, Computer Engineering, Information Systems, Engineering, or a related field.
• Five or more years of full SDLC experience.
• Experience developing generative AI solutions using large language models such as OpenAI GPT, Google Gemini, or Llama.
• Experience with Azure AI Foundry, Microsoft Copilot Studio, Power Platform, Power Automate, and enterprise connectors.
• Experience designing RAG architectures, vector search solutions, AI agents, and intelligent workflow automations.
• Experience implementing AI evaluation frameworks, safety controls, governance processes, and guardrails.
• Python programming or Artificial Intelligence certification.
• Experience with MCP servers and secure AI integrations.

Responsibilities:

• Design, develop, test, deploy, and maintain scalable cybersecurity and AI applications.
• Build Python applications, RESTful APIs using FastAPI, and enterprise integrations.
• Develop and maintain ETL workflows, data ingestion pipelines, and automated data-processing solutions.
• Design and implement secure integrations with third-party platforms, databases, cloud services, and enterprise applications using REST, SOAP, and GraphQL.
• Support vulnerability management and cybersecurity engineering initiatives across enterprise environments.
• Develop advanced threat detection and incident response processes to support the rapid identification, containment, and remediation of security incidents.
• Support SOC operations by improving security tools, technologies, processes, monitoring, and response capabilities.
• Coordinate cybersecurity projects, resources, schedules, risks, issues, and deliverables.
• Communicate security risks, incident updates, project status, compliance activities, and performance metrics to senior leadership.
• Develop security governance frameworks and operating procedures aligned with corporate objectives and regulatory requirements.
• Support the integration of physical security measures with cybersecurity controls and monitoring processes.
• Design and implement secure communication protocols to protect sensitive data and maintain system integrity.
• Build and maintain CI/CD pipelines, GitHub Actions workflows, deployment automation, and secure release processes.
• Work with Secrets Vault, Mezmo, Docker, Kubernetes, Azure, and AWS environments.

$000,000 – $000,000 Salary range is not shown on the candidate portal