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
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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