Description: Skills: Agentic AI Security specialist

Experience : 7 – 12 Years overall technical/security experience (with 1–3+ years relevant hands-on exposure to AI/ML security, LLMs, or agentic frameworks).

Role Descriptions

Must-Have (Candidates must demonstrate depth in core areas and a combination of the following specialisms)

- Agentic AI Security Engineering: Deep expertise in securing autonomous and goal-based AI agents, multi-agent workflows, and complex tool-calling environments across enterprise ecosystems.
- Agent Identity &
- Zero-Trust Machine Identity: Practical experience designing and implementing cryptographic, Zero-Trust machine identity for agents using SPIFFE/SPIRE, runtime-bound mTLS certificates, and verifiable runtime attestation to deprecate static credentials and prevent lateral movement.
- Governed Tool &
- Multi-Hop Authorization: Strong understanding of secure Agent-to-Agent (A2A) and Agent-to-Tool (A2T) protocols, Model Context Protocol (MCP), user-delegated authority (3-Legged OAuth, Token Exchange, nested multi-hop authorization, and fine-grained authorization/downscoping).
- LLM &
- Agent Vulnerability Assessment: Comprehensive mastery of AI threat taxonomies (OWASP Top 10 for LLMs / Agentic Systems, MITRE ATLAS), specifically addressing prompt injection / indirect prompt injection, tool misuse, unintended action execution, recursion abuse, and data exfiltration.
- AI Red Teaming &
- Adversarial Simulations: Proven hands-on experience conducting adversarial simulations, jailbreaking, and red-teaming evaluations on autonomous agents, tool invocations, and RAG pipelines using tools like PyRIT, Garak, PromptFoo, ART,



or custom frameworks.
- AI Governance, Guardrails &
- Human-in-the-Loop Controls: Proven track record in implementing runtime defensive guardrails (e.g., NeMo Guardrails, Llama Guard, Azure AI Content Safety), deterministic parameter verification, action-level human approval gates for privileged operations, and recursion/token budget throttling.
- Security Data Science &
- Telemetry: Hands-on experience developing telemetry mechanisms, anomaly detection, and end-to-end execution path reconstruction (auditing the full human-to-agent-to-tool invocation chain).
- Programming &
- Cloud Foundations: Robust proficiency in Python, API security (REST, gRPC, API Gateways), and cloud security principles across Google Cloud (Vertex AI / Agent Engine / Apigee) or Azure / AWS.

Good-to-Have

- Experience with agent orchestration and development frameworks (Google ADK, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel).
- Familiarity with AI supply chain security (AIBOM / SBOM, model provenance, artifact signing).
- Knowledge of enterprise AI risk and governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act, PRA/FCA regulatory guidance).
- Professional security certifications (CISSP, CCSP, CISM, Cloud Security Specialty, or specialized AI/ML Security credentials).

Custom Fields

Name: Assets

Value: None

Name: Business Vertical

Value: CL-BFSI-UK-EMEA-APAC

Name: Work Assignment Location

Value: Onsite

Name: Parent

Value: IS-BFSI-UK1-Parent

Name: Requisition ID

Value: 11001493

Name: Child

Value: IS-BFSI-UK1-1.1

Name: Work Location CDF

Value: ~TRIL - Infopark - SEZ~

Name: Type of Asset

Value: None

📌 IND_Senior Security Engineer (Chennai)
🏢 Artech Infosystems
📍 Chennai