Onshore Technical Lead – Lead – Cyber Security Automation & AI

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.

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.