Capability Leader – AI Security (Bengaluru)

Capability Leader – AI Security (Bengaluru)

05 Oct
|
Nuvanko Solutions Private
|
Bengaluru

05 Oct

Nuvanko Solutions Private

Bengaluru

AI Security Solution Design Leader should possess strong experience in AI Security and AI technologies and trends. He/she should actively contribute to the development and maturity of the AI security practice. This includes hands-on expertise AI security, supporting practice growth, enabling go-to-market initiatives, and contributing to thought leadership and best practices within the practice.

PAN India (Bangalore, Hyderabad, Chennai, Noida, Gurgaon, Pune)

Seeking an experienced and highly skilled AI Security hands-on, highly technical architect responsible for defining security architecture and implementing robust security controls for our AI/ML systems and their underlying platforms and will serve as the team's technical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring) and proactively mitigating AI-specific threats such as model integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse. Lead technically, set standards, and guide engineers day-to-day through architecture, reviews, and delivery.

Ensures AI systems are secure, compliant, and resilient by implementing data protection, threat detection, guardrails, and ongoing risk monitoring across the AI lifecycle.

Platform & Enablement Roles

- AI Platform Admin (M365, copilot Studio) Manages AI platforms and environments, including access provisioning, governance controls, and policy enforcement (e.g., DLP, security, and compliance).
- AI Reusable Utility Develops reusable components (e.g., prompts, connectors, APIs, templates) to accelerate AI solution delivery and promote standardization across use cases.
- AI Common Infrastructure, Framework & Observability Architect (AWS and Azure) Designs and maintains the foundational AI infrastructure, frameworks, and observability capabilities (telemetry, monitoring, metrics) required for scalable, reliable, and governed AI operations.

Agent Security

- ◦ Non-Human Identity & Access:



Define strict Role-Based Access Control (RBAC) and least-privilege models for AI agents using identity systems (e.g., Entra Agent ID).
- ◦ Guardrails & Sandboxing: Design runtime environments with restricted permissions to prevent manipulated agents from accessing unauthorized APIs, data sources, or executing malicious toolchains.
- ◦ Input/Output Protection: Implement defenses against adversarial attacks, prompt injections, jailbreaking, and sensitive data leakage (DLP) across agent workflows.

Observability & Monitoring

- ◦ Decision Traceability: Architect logging and monitoring standards to map how reasoning agents use data and call APIs, eliminating black box decisions.
- ◦ Model Drift & Integrity: Monitor models and prompt templates in production to detect behavioral drift, anomalies, and poisoning or evasion attacks.

SOC Monitoring & Automation

- ◦ Autonomous Security (AI SOC): Design LLM-driven and agentic workflows to improve alert triage, contextual correlation, false-positive filtering, and playbook automation.
- ◦ Incident Response Playbooks: Establish remediation strategies and threat-hunting procedures for AI-specific events (e.g., compromised model artifacts, hallucination-driven exploits).

Compliance Enablement & Governance

- ◦ Regulatory Alignment: Map AI-specific controls to established standards like the NIST AI RMF, OWASP Top 10 for LLMs, and GDPR.
- ◦ Audit Readiness: Build audit pipelines that track and explain everything an agent does to satisfy ongoing AI regulatory compliance and governance requirements.

- 15+ years of experience in application security, with 8+ years in leadership roles
- Proven track record of building and managing successful security practices
- Robust knowledge of penetration testing, red teaming, purple teaming, breach attack simulation, and ethical hacking
- Experience with practice development, go-to-market strategies, and sales enablement
- Excellent leadership, communication, and interpersonal skills
- Industry-recognized security certifications (e.g., OSCP, CEH, CISSP, CISA, CISM)

Interested candidates, please share updated resume to [HIDDEN TEXT]

📌 Capability Leader – AI Security (Bengaluru)
🏢 Nuvanko Solutions Private
📍 Bengaluru

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