CyberSecurity
FTE - IntraEdge
Job Description
Role Summary
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.
Key Responsibilities
Cyber Security Automation & AI
- 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).
Technical Leadership & Hands-On Delivery
- Serve as a technical subject matter expert (SME) with strong hands-on capabilities across:
- AWS services (e.g., Lambda, S3, IAM, Bedrock, SageMaker, CloudWatch)
- 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.
Team Leadership & Mentorship
- 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.
Stakeholder & Delivery Management
- 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.
Innovation & Continuous Improvement
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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)
Success Metrics
- 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.
Job Requirements
Role Summary
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.
Key Responsibilities
Cyber Security Automation & AI
- 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).
Technical Leadership & Hands-On Delivery
- Serve as a technical subject matter expert (SME) with strong hands-on capabilities across:
- AWS services (e.g., Lambda, S3, IAM, Bedrock, SageMaker, CloudWatch)
- 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.
Team Leadership & Mentorship
- 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.
Stakeholder & Delivery Management
- 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.
Innovation & Continuous Improvement
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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)
Success Metrics
- 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.