AI Security Architect

Senior Security Engineer

Must have technical/functional skills: AI and GenAI security architecture, secure LLM deployment patterns, AI/ML threat modeling and security risk assessment, prompt injection, jailbreak, data leakage, and model abuse controls, retrieval-augmented generation security, vector database and embedding security, AI agents, tool access, plugins, and API security, sensitive-data protection, DLP, encryption, and access control for GenAI, AI model and software supply-chain security, AI red teaming, security testing, monitoring, and incident response, AI governance and responsible AI controls, NIST AI risk management framework and OWASP guidance for LLM applications, Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable platforms, financial services, model-risk, or regulated-industry experience.

Roles & responsibilities: Define secure reference architectures and deployment patterns for AI and GenAI solutions. Perform threat modeling and risk assessments for LLM, RAG, agentic AI, and machine-learning use cases. Design safeguards against prompt injection, jailbreaks, sensitive-data exposure, insecure output handling, and unauthorized tool use. Establish security controls for model access, training and grounding data, vector stores, APIs, plugins, and AI agents. Define AI security governance, control standards, design-review criteria, and risk-acceptance processes. Partner with data, cloud, privacy, model-risk, application-security, and business teams. Lead AI security assessments, proofs of concept, red-team exercises, and executive workshops. Monitor emerging AI threats and translate them into practical enterprise security controls. Support proactive opportunity mining and development of AI security offerings.

Generic managerial skills, if any: Executive and client stakeholder communication, AI security advisory and workshop facilitation, cross-functional leadership, emerging-risk analysis, security roadmap and control-framework development, presales, solution development, and opportunity identification, ability to translate technical AI risks into business language.

TCS Employee Benefits Summary: Discretionary annual incentive. Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance plans. Family support: maternal & parental leaves. Insurance options: auto & home insurance, identity theft protection. Convenience & professional growth: commuter benefits & certification & training reimbursement. Time off: vacation, time off, sick leave & holidays. Legal & financial assistance: legal assistance, 401K plan, performance bonus, college fund, student loan refinancing. Salary range: $130,000-140,000 a year.