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Specialized AI-security focus reduces competition, but mid-level Bangalore role and common Python requirement attract many applicants.
Requires AI engineering skills transferable across industries but strong security/GRC bias increases domain sensitivity.
Explicit 4-8 years plus mandatory Python and AI experience creates strict screening.
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Design and deploy AI agents that automate risk assessments, evidence collection, control testing, and risk scoring in enterprise security contexts.
Develop conversational AI interfaces for instant queries, report generation, and insight access for risk and compliance teams.
Integrate AI tools with cloud platforms, identity systems, and ticketing tools to streamline security risk and compliance operations.
4 to 8 years of software or system development experience with recent focus on AI/ML applied to business problems.
Bachelor's or Master's degree in Computer Science or closely related discipline (B.Tech/B.E/Master's).
Hands-on experience with Python is mandatory.
Hands-on experience building or deploying AI agents, automation workflows, and intelligent systems in enterprise environments, with familiarity in LLMs and prompt engineering.
Experienced in building practical AI-driven automation for governance, risk, and compliance (GRC) challenges.
Capable of translating complex AI/ML capabilities into measurable business impact and influencing both technical and non-technical stakeholders.
Proactive in iteratively delivering working solutions and staying current with emerging AI technologies like LLMs and autonomous agents.