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Recognizable brand and desirable AI role create moderate competition with one-to-two amplifiers.
Strong ML/AI skills transferable across industries, GRC security focus adds moderate specialization.
Explicit 7-10 years plus mandatory Python and AI experience makes shortlisting highly strict.
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Design, build, and deploy AI agents that automate risk assessments, evidence collection, control testing, and risk scoring for security risk management.
Integrate AI automation tools with cloud platforms, identity systems, and ticketing tools to streamline security risk and compliance operations.
Develop conversational AI interfaces for natural language querying of security risk data and insights, and train security teams on AI tools measuring ROI through metrics like time saved and accuracy.
7 to 10 years of software or system development experience with recent focus on AI/ML applications in business contexts.
Bachelor's or Master's degree in Computer Science or a closely related discipline (B.Tech, B.E, or equivalent).
Hands-on experience with Python programming (mandatory).
Proven experience building or deploying AI agents, automation workflows, and familiarity with large language models (LLMs) and prompt engineering.
Experienced in enterprise AI and automation software development focused on practical security risk and compliance solutions.
Able to translate AI capabilities into tangible business value and communicate effectively with both technical and non-technical stakeholders.
Pragmatic and iterative in delivery style with continuous learning mindset, staying updated with emerging AI technologies including LLMs and autonomous agents.