Key Responsibilities

- Monitor and operate AI security platform day to day, following established procedures for routine alerts, access requests, and configuration changes
- Triage first-level alerts from the AI security platform, such as suspected prompt injection, policy violations, or unusual model output, and escalate complex or ambiguous cases to Clients onshore senior engineers
- Support onboarding of new AI applications, teams, and user groups to the platform, following existing checklists and procedures under guidance from senior engineers
- Assist in building and maintaining straightforward automation scripts in Python for vulnerability triage, log review, and reporting tasks
- Help maintain security documentation and evidence artifacts produced by AI security workflows
- Monitor deployed AI agents and platform dashboards for drift, anomalies, or degraded performance, escalating findings as needed
- Partner with security operations and engineering teams to document manual processes that may be suitable for future automation
- Participate in daily handoff and standup meetings with the onshore team to report status, escalate open items, and align on priorities
- Participate in team knowledge-sharing sessions on agentic AI security, contributing lessons learned from daily operations Additional

Qualifications:
Required:
- 2+ years of experience in security engineering, security operations, IT, or a related technical field
- Basic proficiency in Python, with the ability to read, modify, and troubleshoot existing scripts




- Working familiarity with REST APIs and Git
- Exposure to at least one major cloud provider (AWS, GCP, or Azure)
- Familiarity with ticketing and security tooling ecosystems (e.g., Jira, Splunk) sufficient to log and track findings
- General awareness of prompt design and LLM-based tools (e.g., Claude, ChatGPT)
- Clear written communication skills and the discipline to follow documented procedures accurately Preferred:
- Coursework, internship, or project experience involving AI/ML, LLMs, or security automation
- Exposure to Claude Code or similar agentic coding tools, including in a personal or academic context
- Familiarity with basic AI/LLM security concepts, such as prompt injection or jailbreaking
- Interest in security automation platforms (SOAR, n8n, Tines, or similar)
- Prior experience supporting a distributed or offshore security operations model with formal handoff processes Measures of Success:
- Alerts and tickets triaged within agreed service-level targets, with accurate escalation of complex or ambiguous cases
- Consistent, accurate documentation of triage decisions and rationale, sufficient to support an audit trail
- Reliable execution of daily handoff and standup routines with the onshore team, with no missed escalations
- Growing independent judgment on routine cases over the course of the engagement, reducing reliance on senior escalation over time
- Positive feedback from onshore senior engineers on responsiveness, communication, and adherence to established procedures

📌 AI Security Engineer(Agentic AI) (India)
🏢 Alike Thoughts
📍 India