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Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud Platform
About the role
Key responsibilities & impact- Build and lead an India-based AI security engineering and enablement function
- Translate global AI security strategy into scalable engineering, control, and governance outcomes
- Lead design and execution of security controls across internally developed models, third-party AI services, SaaS AI features, copilots, RAG, agentic workflows, and AI-enabled automation
- Lead AI security architecture across enterprise AI platforms, cloud AI services, model integrations, data pipelines, and AI-enabled applications
- Create and maintain secure design patterns for generative AI platforms, LLM and model API integrations, RAG systems, vector databases and embeddings, AI agents and tool invocation, prompt and response handling, and human-in-the-loop controls
- Define and operationalize controls for prompt injection, sensitive data leakage, model manipulation, insecure integrations, unauthorized RAG or connector access, unsafe automation, shadow AI, model supply chain risks, and IP exposure
- Partner with risk, legal, privacy, compliance, Data Security, and Privacy teams on practical and measurable AI controls
- Embed AI security requirements into endpoint, browser, infrastructure, collaboration, developer, and platform controls
- Build AI security intake, risk tiering, assessment templates, approved-tool guardrails, shadow AI discovery, production readiness checklists, and exception models
- Lead or enable AI security testing for prompt injection, RAG data leakage, authorization bypass, connector misuse, unsafe agent actions, excessive permissions, adversarial input, and AI-generated code risk
- Partner with cyber defense and the SOC to define AI telemetry, monitoring, and incident response playbooks
- Build and lead an India-based AI security team across architecture, engineering, assurance, governance enablement, and technical program management
- Develop a leadership bench and technical career path across AI security architecture, cloud and platform security, application and API security, AI security testing, and automation
Requirements
What you’ll need- 12+ years in cybersecurity, application security, data security, cloud or infrastructure security, AI/ML security, or related technology risk disciplines
- 5+ years leading technical cybersecurity or security engineering teams
- Strong understanding of generative AI, machine learning platforms, AI-enabled SaaS, APIs, data pipelines, cloud platforms, and enterprise application architectures
- Experience defining security controls for high-risk or emerging technology platforms
- Strong understanding of data protection, identity, endpoint, cloud, application, infrastructure, and cyber defense dependencies
- Demonstrated ability to translate emerging technology risk into practical architecture, engineering, and control outcomes
- Ability to lead across geographies, cultures, and time zones, with strong executive-level written and verbal communication
- Experience securing enterprise AI, generative AI, LLM, or AI-enabled SaaS platforms, including RAG, vector databases, AI agents, copilots, model APIs, AI gateways, or prompt security controls
- Experience in healthcare, pharmaceutical services, financial services, or another highly regulated industry preferred
- Experience with AI governance frameworks, model risk management, privacy engineering, or responsible AI programs preferred
- Knowledge of OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO 27001, NIST CSF, or HITRUST preferred
- Experience with cloud AI services across Azure, AWS, or GCP preferred
- Experience building a new security capability or establishing India-based global security capabilities preferred
- Bachelor's degree in cybersecurity, information technology, computer science, engineering, or a related field, or equivalent experience required
- Master's degree in a related field or equivalent experience preferred
- 10+ years of experience in security engineering, cybersecurity, information security, technology risk, or a related field required
- 5+ years of experience in a management capacity required
- Certification in cybersecurity, cloud security, or risk preferred
Benefits
Comp & perks- Benefit offerings outside the US may vary by country and will be aligned to local market practice
- Equal employment opportunity and non-discriminatory recruiting, training, compensation, benefits, promotions and transfers
- Reasonable accommodations during the employment process for individuals with disabilities