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Mid-level AI SDE in Bangalore with a generalist title and metro location attracts many qualified applicants.
Core AI engineering skills transfer across industries, though security/GRC domain knowledge moderately increases specialization.
Explicit 4–8 years plus mandatory Python and AI/agent experience creates high shortlisting strictness.
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Design and deploy AI agents automating risk assessments, evidence collection, control testing, and risk scoring for security risk management.
Build intelligent automation tools integrating AI with cloud platforms, identity systems, and ticketing tools to enhance security risk and compliance operations.
Develop conversational AI interfaces for natural language querying and reporting; train security teams on AI tools and measure performance improvements.
Bachelor's or Master's degree in Computer Science or related discipline (B.Tech, B.E, or equivalent).
4 to 8 years of software or system development experience with recent focus on AI/ML applied to business problems.
Hands-on experience with Python programming (mandatory).
Experience building or deploying AI agents, automation workflows, and intelligent systems in enterprise environments with familiarity in LLMs and prompt engineering.
Practical engineer with ability to translate AI capabilities into business value and effectively communicate with technical and non-technical stakeholders.
Experience working iteratively with emerging AI technologies like LLMs, autonomous agents, and automation frameworks applied to governance, risk, and compliance (GRC).
Comfortable enabling and training teams to adopt AI-driven tools with measurable impact on time savings and accuracy.