Senior Assistant Vice President- AI Security Engineering

About the role

Demonstrated ability to lead secure AI engineering at enterprise and multi-client scale Proven effectiveness operating in global, regulated, client-delivery environments Credibility with both deeply technical teams and non-technical executive stakeholders TDefine and lead the Secure AI Engineering practice across enterprise and client-delivered AI solutions.

What you'll do

• Establish secure-by-design standards, guardrails, and engineering controls for ML, GenAI, LLM, RAG, and Agentic AI systems
• Translate regulatory and risk requirements into practical engineering standards aligned with business outcomes
• Oversee security architecture for the end-to-end AI lifecycle—data ingestion, training, fine-tuning, model management, inference, APIs, integrations, and infrastructure
• Ensure protection against advanced AI threats including data poisoning, model theft, prompt injection, inference attacks, agent misuse, hallucination exploitation
• Drive adoption of secure reference architectures, reusable components, and hardened AI pipelines across delivery teams

What you need

• 20–30 yrs of experience
• Machine learning
• LLMs
• MLOps
• CI/CD
• AWS
• GCP
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Financial statements
• Azure