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Mid-level Bengaluru AI/security role with metro location and 3–6 year amplifier, but niche specialization reduces density.
Requires ML/AI plus security/GRC domain expertise, limiting cross-industry transferability.
Explicit 4–8 years, mandatory Python and AI/agent security experience increase selection rigidity.
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Design, build, and deploy AI-powered intelligent agents that automate security risk assessments, evidence collection, control testing, and risk scoring.
Develop conversational AI interfaces and integrate AI tools with cloud platforms, identity systems, and ticketing tools for streamlined governance, risk, and compliance (GRC) operations.
Train security teams to use AI tools effectively and measure impact through metrics like time saved and accuracy improved, while iterating based on user feedback and emerging AI innovations.
Bachelor's (B.Tech/B.E) or Master's degree in Computer Science or related field.
4 to 8 years of software/system development experience with recent focus on applying AI/ML to business problems.
Hands-on experience with Python programming (mandatory).
Practical experience building or deploying AI agents, automation workflows, and familiarity with large language models (LLMs) and prompt engineering.
Experienced in integrating AI technologies within enterprise security, risk, and compliance environments to deliver measurable business value.
Skilled at translating complex AI capabilities to technical and non-technical stakeholders, enabling adoption and operational impact.
Comfortable working iteratively with emerging AI/ML technologies such as LLMs, autonomous agents, and automation frameworks to solve real-world GRC challenges.