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AI specialization, Bangalore metro presence, and hybrid work increase candidate competition.
Strong ML/AI focus with security GRC specifics limits cross-industry transferability.
Explicit 7–10 years requirement plus mandatory Python and LLM/agent deployment skills create strict filtering.
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Design, build, and deploy AI agents that automate security risk assessments, evidence collection, control testing, and risk scoring.
Develop conversational AI interfaces for real-time querying and reporting for risk and compliance teams.
Integrate AI automation tools with cloud platforms, identity systems, and ticketing tools to enhance security risk and compliance operations.
7 to 10 years of software or system development experience with recent focus on applying AI/ML to business problems.
Bachelor's (B.Tech, B.E) or Master's degree in Computer Science or a closely related discipline.
Hands-on experience with Python is mandatory.
Experience building or deploying AI agents and automation workflows in enterprise environments; familiarity with LLMs and prompt engineering.
Experienced in deploying AI-powered automation solutions specifically for security risk, governance, risk, and compliance domains.
Able to translate AI capabilities into measurable business value and communicate effectively with technical and non-technical stakeholders.
Operates iteratively, continuously improves solutions based on feedback, and stays abreast of emerging AI technologies such as LLMs and autonomous agents.