Job Description & Details
This is a heavy-hitting leadership and engineering hybrid role focused on securing cutting-edge AI and LLM implementations in Dallas. You will be bridging the gap between high-level executive strategy and deep technical execution, meaning you need to be just as comfortable talking compliance with stakeholders as you are designing threat detection protocols for LLM pipelines. If you enjoy building security guardrails for emerging generative AI stacks while overseeing SOC operations, this contract offers a massive scope of impact.
What You'll Actually Be Doing
Your day-to-day will involve orchestrating security operations, aligning cybersecurity initiatives with corporate goals, and managing risk communication for executive leadership. You'll spend a lot of time designing advanced threat detection and incident response protocols specifically tailored to large-scale applications. Expect to mentor a team of security professionals, oversee physical-to-cyber infrastructure integrations, and drive the governance frameworks that keep generative AI deployments secure without killing velocity.
The Core Tech Stack
You need a rock-solid foundation in full SDLC design and implementation within hosted production environments, alongside 3 to 5+ years of dedicated cybersecurity engineering and vulnerability management. While traditional infosec fundamentals are non-negotiable, the real differentiator here is hands-on exposure to generative AI solutions and Large Language Models like OpenAI GPT, Google Gemini, or Llama. Python programming chops and a solid grasp of secure communication protocols will be your daily bread and butter to survive and thrive in this ecosystem.
Interview Expectations
Given the in-person interview requirement and the senior nature of the role, expect them to grill you on real-world incident response and LLM vulnerabilities. They will likely ask you to explain how you would mitigate prompt injection or data poisoning attacks in a production LLM pipeline. The hiring manager isn't just looking for textbook definitions; they want to see how you pragmatically balance model utility with strict enterprise security controls. Be ready to walk through a past project where you had to communicate a severe security risk to non-technical stakeholders without causing panic.
Application Advice
Your resume needs to make the intersection of traditional cybersecurity and AI/LLM work immediately obvious. Do not bury your experience with generative AI or Large Language Models in a bullet point at the bottom; put it right at the top. Ensure keywords like Vulnerability Management, Full SDLC, Incident Response, and Python are explicitly mentioned, matching the exact terminology from the job description to get past the initial ATS screening.