AI Security Lead

Join Delphi - Where Innovation meets transformation 

At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. 

We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. 

Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. 

About the Role

Role: AI Security Lead
Location: India (Remote)

Role Overview

We are looking for an AI Security specialist who will design, implement, and govern secure AI/ML and GenAI platforms on Microsoft Azure. This role sits at the intersection of Cloud Security, MLOps, and LLMOps, ensuring that machine learning models and large language models are deployed, operated, and governed securely across their lifecycle.

The role will work closely with DataOps, MLOps, LLMOps, Cloud Infra, DevOps, and Security teams to embed security-by-design into AI platforms and delivery pipelines.

Key Responsibilities

AI & ML Platform Security (Azure)

• Design secure architectures for Azure Machine Learning, Azure OpenAI, AKS-based ML platforms, and AI Hub environments
• Implement Zero-Trust security models for AI workloads across training, inference, and evaluation environments
• Secure AI platforms using private networking, VNet injection, Private Endpoints, Private DNS, and controlled egress

MLOps Security Responsibilities

• Secure end-to-end ML lifecycle, including:
• Implement secure CI/CD pipelines for ML using Azure DevOps / GitHub Actions
• Integrate secrets management using Azure Key Vault
• Apply RBAC and least-privilege access for ML workspaces, compute, and registries

LLMOps & GenAI Security

• Secure Azure OpenAI and GenAI workloads, including:
  • Prompt management and prompt versioning
  • Secure system prompts and prompt templates
  • Controlled access to foundation models
• Implement prompt injection, jailbreak, and abuse protection strategies
• Enforce input/output validation, content filtering, and policy-based controls
• Design guardrails for agent-based architectures and multi-agent workflows
• Enable safe usage patterns for RAG pipelines (vector DB, embeddings, retrieval layer)

Data Security & Governance for AI

• Ensure secure handling of training data, feature stores, and embeddings
• Enforce data classification, masking, and encryption (at rest & in transit)
• Integrate AI platforms with enterprise data governance frameworks
• Prevent data leakage, data poisoning, and unauthorized data access

Threat Modeling & Risk Management

• Perform AI-specific threat modeling, including:
  • Model theft
  • Model inversion
  • Data poisoning
  • Prompt injection and hallucination risks
• Define mitigation strategies and compensating controls
• Establish secure AI design patterns and reusable reference architectures

Monitoring, Logging & Compliance

• Enable security monitoring using Azure Monitor, Log Analytics, Sentinel, Defender for Cloud
• Define alerting for:
  • Anomalous inference usage
  • Unauthorized model access
  • API abuse and token misuse
• Support compliance requirements (ISO 27001, SOC, internal security baselines, regulated industry controls) 

Standards, Documentation & Enablement

• Define AI Security standards, policies, and runbooks
• Create reference implementations and templates for secure MLOps & LLMOps
• Guide engineering teams on secure AI development practices
• Support pre-sales, architecture reviews, and customer security discussions

Skills Required:

Security & DevOps Skills

• Experience securing CI/CD pipelines (GitHub / Azure DevOps)
• Knowledge of container and Kubernetes security (image scanning, runtime controls)
• Understanding of API security, token management, and rate limiting
• Familiarity with threat modeling frameworks and Zero-Trust principles
• Strong experience with Microsoft Azure security architecture
• Familiarity with policy-as-code and security baselines
• Worked with MLOPS team or LLMOPS Team:
  • Azure Machine Learning understanding
  • Azure OpenAI / GenAI services
  • AKS-based AI/ML platforms understanding
• Understanding of MLOps pipelines and lifecycle security
• Knowledge of LLMOps concepts, including RAG, prompts, embeddings, and agents
• Strong experience with:
  • Azure Key Vault
  • RBAC, Managed Identity, Conditional Access
  • Private Endpoints and network isolation

Role Fitment

This role is ideal for someone who:

• Understands that AI security is not traditional app security
• Can help create a security framework for AI project delivery
• Can translate security principles into MLOps & LLMOps workflows
• Is comfortable operating between platform engineering and governance
• Thinks long-term about scalable, reusable AI security frameworks

Good-to-Have

• Familiarity with enterprise data governance platforms (cataloging, lineage, classification)
• Understanding of PII masking, data anonymization, and data residency controls for AI training
• Experience with Hub-and-Spoke or VWAN architectures for AI platforms

Certification

Candidates should hold or be working toward relevant Azure, security, and AI certifications such as AZ-500, AZ-305, AI-102, AZ-400, CKS, CISSP, or equivalent. Certifications related to Responsible AI, AI governance, and cloud security are highly valued.

What we offer

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed. 

We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.