Technical Lead – Cyber Security Automation & AI

Intra Edge has an immediate need for a Technical Lead – Cyber Security Automation & AI

Hybrid in downtown Charlotte, NC. Must be local, no relocation.

US Citizen or Green Card only. This is a full-time position NO C2C

We are seeking a Lead – Cyber Security Automation & AI to drive the design, development, and delivery of advanced automation, AI, and machine learning initiatives that strengthen enterprise cyber security posture. This role combines hands‑on technical leadership with cross‑functional stakeholder engagement
, leading global delivery teams to deliver measurable risk reduction and operational efficiency.

The ideal candidate brings deep expertise in AWS, Python, AI/ML, Agentic AI, and LLM‑based solutions
, and thrives in complex, regulated environments with evolving requirements.

• Lead and deliver multiple initiatives leveraging Automation, AI, and ML to enhance cyber security detection, response, and prevention capabilities.
• Design and implement AI‑driven security use cases
  , including anomaly detection, threat intelligence enrichment, alert triage, and automated remediation.
• Apply Agentic AI and LLMs to improve security operations workflows (SOC automation, incident summarization, policy interpretation, control validation).

• Serve as a technical subject matter expert (SME) with strong hands‑on capabilities across:
• AWS services (e.g., Lambda, S3, IAM, Bedrock, Sage Maker, Cloud Watch)
• Python for automation, data processing, and ML pipelines
• LLMs and ML models for classification, prediction, and natural language use cases
• Review solution designs, code, and architectures to ensure security, scalability, and performance best practices.
• Drive adoption of secure coding, MLOps, and cloud security standards.
• Lead, mentor, and guide offshore delivery teams
  , ensuring high‑quality execution and continuous capability development.
• Define clear delivery goals, technical standards, and success metrics for distributed teams.
• Foster a culture of ownership, learning, and innovation within the team.

• Navigate ambiguity and evolving requirements while working with diverse stakeholders, including:
• Cyber Architects
• Engineering & Delivery teams
• Compliance, Risk, and Governance
• Platform and Cloud teams
• Translate complex technical concepts into clear, actionable insights for both technical and non‑technical stakeholders.
• Communicate project status, risks, dependencies, and outcomes in a concise and transparent manner.
• Stay current with emerging AI/ML, GenAI, and cyber security trends
  , tools, and techniques.
• Proactively identify opportunities to introduce innovative AI‑driven security solutions that improve resilience, efficiency, and risk posture.
• Contribute to the evolution of the organization’s cyber automation and AI roadmap.

• 6-10+ years of experience in Cyber Security, Cloud Engineering, or Security Automation
  , with increasing leadership responsibility.
• Strong hands‑on experience with AWS cloud services and security‑native architectures.
• Proficiency in Python for automation and AI/ML development.
• Practical experience working with ML models, LLMs, and/or Agentic AI frameworks
  .
• Experience leading offshore or distributed teams
  .
• Strong communication skills and the ability to work across technical and non‑technical stakeholders.
• Proven ability to operate effectively in ambiguous, fast‑paced, and regulated environments
  .

• Experience in financial services or regulated industries
  .
• Familiarity with SOC operations, SIEM/SOAR platforms
  , and cyber risk frameworks.
• Experience with MLOps, model monitoring, and AI governance
  .
• Exposure to security compliance frameworks (NIST, ISO, SOC2)

• Measurable improvement in cyber security posture through AI‑driven automation.
• Reduction in manual effort and alert fatigue across security operations.
• On‑time, high‑quality delivery of automation and AI initiatives.