Cybersecurity Engineer – AI Security

KellyMitchell Group; Fort Worth (TX); On-site; USD 51,000 - 74,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Employee-Owned Profit Sharing (ESOP)

401K

Job summary

KellyMitchell is seeking a Cybersecurity Engineer focused on AI Security to join a global cyber team. You will work as a Level 3/4 engineer blending security with hands-on software and AI development, including AI-powered solutions, AI agents, and secure integrations.

You will design, develop, and maintain scalable Python applications and REST APIs, while ensuring governance and compliance across Azure and AWS environments. Collaboration with leadership and cross-functional teams is essential.

Qualifications

• Bachelor's degree in CS, CE, Tech, CIS/MIS, Engineering or related field, or equivalent experience/training.
• 3+ years of Vulnerability Management experience.
• 3+ years of cybersecurity engineering experience.
• 3+ years of full SDLC experience designing, developing, and implementing large-scale applications in hosted production environments.
• 3+ years of professional design and open-source experience.
• Experience with Python, Shell, Linux, SQL, or similar scripting to support development and automation.
• Experience building integrations with REST APIs and third-party platforms, databases, and cloud services.

Responsibilities

• Design, develop, and implement AI-powered solutions, AI agents, and intelligent workflow automations using LLMs across Azure AI Foundry, Copilot Studio, and Power Platform.
• Monitor and optimize AI model performance, reduce hallucinations and non-deterministic behavior with evaluation frameworks and governance guardrails.
• Develop AI services using APIs, connectors, and MCP servers for secure enterprise integrations.
• Design, develop, and maintain scalable Python applications, RESTful APIs (FastAPI), and enterprise integrations with CI/CD pipelines in Azure and AWS.
• Collaborate with leadership and stakeholders to align cybersecurity initiatives with objectives and standards.
• Work with cross-functional teams to gather requirements, troubleshoot production issues, and document designs and procedures.

Skills

Vulnerability Management

Cybersecurity Engineering

SDLC

Python

Shell

Linux

SQL

REST APIs

Cloud services

Education

Bachelor's degree in Computer Science/Engineering/Tech or related field

Tools

GitHub Actions

Docker

Kubernetes

Azure AI Foundry

Microsoft Copilot Studio

Power Platform

MCP servers

Job description

Job Summary

Our client, a leading airline industry provider, is seeking a Cybersecurity Engineer with a focus on AI Security to join their global cybersecurity team. The engineer will serve as a Level 3/Level 4 team member, fully integrated into a collaborative group of experienced security professionals who readily share knowledge and expertise. The role combines cybersecurity engineering with hands-on software and AI development, including AI-powered solutions, AI agents, and secure integrations, to help protect the organization's systems and align cybersecurity initiatives with corporate objectives.

Core Responsibilities

• Design, develop, and implement AI-powered solutions, AI agents, and intelligent workflow automations using LLMs, leveraging platforms such as Azure AI Foundry, Microsoft Copilot Studio, and Power Platform and implement Retrieval-Augmented Generation (RAG) architectures, including knowledge retrieval, vector search, and grounding strategies


• Monitor and optimize AI model performance, reduce hallucinations, manage non-deterministic behavior, and implement evaluation frameworks, safety controls, and governance guardrails for reliable and responsible AI


• Develop AI services using APIs, connectors, and Model Context Protocol (MCP) servers to securely integrate AI capabilities with enterprise systems


• Design, develop, and maintain scalable Python applications, RESTful APIs (FastAPI), and enterprise integrations, supported by CI/CD pipelines and secure deployment automation in Azure and AWS environments


• Work closely with senior leadership, project managers, and stakeholders to align cybersecurity initiatives with corporate objectives, and ensure adherence to cybersecurity standards and regulations


• Collaborate with cross-functional teams to gather requirements, troubleshoot production issues, and document technical designs and operational procedures

Required Skills/Experience (Must-Haves)

• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training


• 3+ years of experience in Vulnerability Management


• 3+ years of experience in cybersecurity engineering


• 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments


• 3+ years of professional design and open-source experience


• Experience with Python, Shell, Linux, SQL, or similar scripting technologies to support development and automation


• Experience building integrations with REST APIs and third-party platforms, databases, and cloud services

Preferred Skills/Experience (Nice-to-Haves)

• Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline


• 5+ years of full SDLC experience


• Prior experience developing and implementing generative AI solutions using Large Language Models (e.g., OpenAI GPT, Google Gemini, Llama)


• Python Programming or Artificial Intelligence certification


• Experience with Azure AI Foundry, Microsoft Copilot Studio, Power Platform, or MCP servers


• Experience with CI/CD tooling such as GitHub Actions, Docker, and Kubernetes

Key Competencies & Behaviors

• Collaborative team player who shares knowledge and guidance with others


• Strong ownership, accountability, and professional standards, equivalent to a full-time team member


• Clear communication of security risks and strategies to technical and executive audiences


• Strong problem-solving skills and ability to troubleshoot production issues


• Commitment to responsible, reliable, and well-governed AI solutions

Work Environment

Location: Onsite, 3 days per week Collaborative global team environment

Compensation & Benefits

• Pay Range: The approximate pay range for this position is between $37.00 and $54.00 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.


• Medical, Dental, & Vision Insurance Plans


• Employee-Owned Profit Sharing (ESOP) 401K offered

About KellyMitchell

At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.