AI Security Engineer

Job Title

AI Security Engineer

Location & Work Model

Fort Worth, TX / Long Term Contract

About the Role

We are seeking a Level 3/Level 4 AI Security Engineer to join a global, highly collaborative team. The ideal candidate will operate with the same performance, accountability, and professional standards as an internal employee. This role focuses on aligning cybersecurity initiatives with corporate goals, overseeing Security Operations Center (SOC) functions, driving secure application development, and engineering generative AI solutions with strong governance controls.

Key Responsibilities

Cybersecurity Operations & Executive Alignment

·       Stakeholder & Executive Communication: Work with senior leadership, project managers, and stakeholders to align cybersecurity initiatives with business goals. Communicate critical SOC risks, strategies, incident statuses, and detailed KPI performance reports.

·       SOC Oversight & Incident Response: Oversee SOC operations to ensure proper tooling, technologies, and processes. Design and execute advanced threat detection and incident response protocols for rapid containment and remediation.

·       Physical & Communication Security: Oversee the integration of physical security measures with cybersecurity protocols. Develop and implement secure communication strategies to protect sensitive data.

·       Governance & Team Leadership: Establish governance frameworks for security operations to ensure regulatory compliance. Mentor cybersecurity team members through targeted training and guidance.

AI Engineering & RAG Architecture

·       GenAI & LLM Solutions: Design, build, and implement AI-powered solutions, AI Agents, and intelligent workflow automations using LLMs in Azure AI Foundry, Microsoft Copilot Studio, Power Platform, and Power Automate.

·       RAG & Knowledge Retrieval: Design and implement Retrieval-Augmented Generation (RAG) architectures, including vector search, grounding strategies, and enterprise knowledge integrations.

·       AI Governance & Guardrails: Monitor and optimize AI model performance, reduce hallucinations, handle non-deterministic behavior, and implement safety controls, evaluation frameworks, and governance guardrails.

·       MCP & API Integration: Build AI services using APIs, connectors, and Model Context Protocol (MCP) servers to enable secure, scalable enterprise integration.

Software Engineering & CI/CD Pipelines

·       Development & APIs: Design, build, and maintain scalable Python applications, RESTful APIs (FastAPI), and enterprise integrations using REST, SOAP, and GraphQL.

·       Data & Pipelines: Develop and maintain ETL workflows, automated data-processing solutions, and data ingestion pipelines.

·       DevSecOps & Automation: Build, optimize, and support CI/CD pipelines using GitHub Actions, Secrets Vault, Mezmo, Docker, and Kubernetes across AWS and Azure environments.

·       Scripting & Quality: Utilize Shell, Python, Linux, JavaScript, and SQL for automation and operational support. Perform code reviews, automated testing, and maintain technical documentation.

Qualifications & Requirements

Education

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

·       Preferred: Master's degree in a related technical discipline.

Required Experience & Skills

·       3 to 5 years of hands-on experience in Vulnerability Management.

·       3 to 5+ years of experience in Cybersecurity Engineering.

·       3 to 5+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments.

·       3 to 5+ years of professional, design, and open-source software experience.

Preferred / Nice-to-Have Skills

·       5 years of full SDLC experience.

·       Hands-on experience developing and implementing generative-based AI solutions using Large Language Models (e.g., OpenAI GPT, Google Gemini, Llama).

·       Professional Certifications in Python Programming or Artificial Intelligence.

Team Environment

You will join a global, collaborative team of experienced security professionals who regularly share guidance and technical expertise to foster continuous skills development.

Interview Process

·       Interview Process: 2 Rounds (Round 1: Virtual | Round 2: Onsite)

About VGAI Solutions

VGAI Solutions is an AI-native and technology solutions firm that helps organizations build high-performing engineering and technology teams. MBE-certified and ISO 9001-registered, we operate across the USA, Mexico, UAE, Mauritius, and India, with our Global Delivery Center in Hyderabad. From specialized IT to engineering talent to end-to-end AI solutions, we deliver the human capital that powers our Fortune 1000 clients.

Equal Opportunity Statement

VGAI Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic.