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Mid-level Bangalore role but niche security+LLM skills reduce density, giving medium competition.
Core ML skills are transferable, but security GRC and agent integration raise domain specificity to medium.
Explicit 4-8 years plus mandatory Python and LLM/AI agent experience enforces medium filtering.
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Design and deploy AI agents for automating security risk assessments, evidence collection, control testing, and risk scoring at scale.
Integrate AI-driven 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, reporting, and insights access by risk and compliance teams.
4 to 8 years of experience in software or system development with recent focus on applying AI/ML to business problems.
Bachelor's (B.Tech, B.E) or Master's degree in Computer Science or closely related field.
Proven hands-on experience with Python and building/deploying AI agents and automation workflows in enterprise environments, including familiarity with LLMs and prompt engineering.
Not explicitly mentioned: notice period or location constraints.
Experienced in practical application of AI/ML for governance, risk, and compliance (GRC) challenges in enterprise settings.
Able to translate technical AI solutions into tangible business value for both technical and non-technical stakeholders.
Focused on iterative delivery of working AI solutions and continuous learning of emerging AI technologies.