Company Name: VARITE India Private Limited

About The Client:

A global skilled services network and part of the Big Four, along with Client, EY, and KPMG, operating across 149 countries worldwide.

About The Job:

- Design, implement, and optimize technical security controls and trust mechanisms across AI/ML, GenAI, and Agentic AI environments.
- This role focuses on embedding practical safeguards into platforms, pipelines, models, and runtime environments through the deployment of security tooling, guardrails, posture management, and monitoring capabilities.

Essential Job Functions:

- AI Security Controls Engineering
- Control Design: Design and implement preventive, detective, and corrective controls across AI/ML, GenAI, and Agentic AI systems spanning data, model, application, and runtime layers.
- Secure Pipeline Integration: Embed security controls into MLOps and LLMOps pipelines including model registration, artifact scanning, secrets protection, secure deployment gates, and continuous validation.
- Platform Hardening: Harden AI infrastructure components such as model serving endpoints, vector databases, API gateways, orchestration layers, notebooks, and inference environments.

- AI Trust Tooling &

• Guardrails

- Guardrail Implementation: Deploy and tune guardrail technologies to enforce prompt filtering, content moderation, output constraint validation, sensitive data detection, and policy-based response controls.
- Toolchain Enablement: Implement AI trust and security tooling for red teaming, model scanning, prompt injection detection, runtime monitoring, and AI Security Posture Management (AI-SPM).
- Validation Controls: Enforce strong input/output validation, prompt sanitization, retrieval constraints, grounding checks, and content safety controls across user-facing AI systems.

- Monitoring, Detection &

• Posture Management

- AI-SPM Deployment: Implement and operate AI posture management tools to maintain continuous visibility into models, datasets, prompts, agents, connectors, and exposed AI services.
- Runtime Monitoring: Establish monitoring for prompt attacks, abnormal usage patterns, unsafe outputs, policy violations, and suspicious agent behaviors across production AI systems.
- Telemetry &

• Alerting: Integrate AI-specific events into enterprise logging, SIEM, SOAR, and monitoring platforms to improve incident detection and response.

- Identity, Access &

• Connector Security

- IAM Controls: Integrate AI platforms and agentic systems with cloud-native IAM, RBAC, secrets management, token controls, and least-privilege access models.
- Connector Governance: Secure plugins, APIs, data connectors,



and external tool integrations by enforcing authentication, authorization, session restrictions, and scoped actions.
- Agent Security Boundaries: Implement technical controls that constrain agent actions, restrict unsafe tool usage, and enforce approval workflows for sensitive operations.

- Security Testing &

• Operationalization

- Control Validation: Test and validate implemented controls against prompt injection, jailbreaks, data exfiltration, insecure output generation, and unauthorized system actions.
- Configuration Management: Standardize secure configuration baselines for AI services, foundation model integrations, and agent frameworks.
- Operational Runbooks: Develop operational procedures for control maintenance, incident escalation, exception handling, and continuous improvement.

Key Responsibilities
- Controls Implementation: Design and deploy technical security controls across AI/ML, GenAI, and Agentic AI platforms and delivery pipelines.
- Tool Integration: Implement and operationalize AI trust, security, posture management, monitoring, and guardrail tools within enterprise environments.
- Security Architecture: Define secure implementation patterns for LLM applications, RAG pipelines, vector stores, model serving layers, and autonomous agent frameworks.
- Monitoring & Detection: Establish logging, monitoring, alerting, and response mechanisms for AI-specific threats, misuse, and policy violations.
- Runtime Protection: Build and tune runtime protection capabilities to reduce prompt attacks, unauthorized data access, toxic outputs, and uncontrolled agent behaviors.
- Standards Enforcement: Define and enforce technical control standards, secure configurations, and implementation baselines for AI systems.
- Cross-Functional Partnership: Collaborate with platform engineering, cloud security, SOC, data science, and application teams to operationalize security controls effectively.
- Practice Innovation: Build reusable implementation patterns, control libraries, deployment accelerators, and reference architectures for scalable adoption.

Qualifications: Education & Experience

- Degree: Bachelor’s or master’s degree in Computer Science, Cybersecurity, Engineering, Information Security, or a related technical field.
- Core Experience:



5+ years in cybersecurity engineering, security architecture, platform security, or cloud security.
- Specialized Experience: 2+ years specifically focused on AI/ML security, GenAI security controls, LLM application security, or secure AI platform implementation.

Technical Skills & Certifications
- Cloud & Platforms: Hands-on experience securing AI services and data platforms across AWS, Azure, and GCP.
- Security Tooling: Experience with AI trust and security tools such as AI-SPM platforms, prompt security tools, model scanning tools, DSPM, SIEM/SOAR integrations, and runtime policy enforcement technologies.
- Preferred Certifications: CISSP, CCSP, GIAC certifications, cloud security certifications, Kubernetes/security certifications, or AI security/governance certifications such as IAPP AIGP.

Soft Skills
- Implementation Leadership: Solid ability to translate security requirements into deployable controls and operational solutions.
- Stakeholder Communication: Ability to work across engineering, security, and business teams while clearly articulating control intent, implementation trade-offs, and residual risk.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral: 0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status

📌 AI Trust, Security Controls & Tools Implementation (Delhi)
🏢 VARITE
📍 Delhi