AI Security Architect

Tata Consultancy Services; New York (NY); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Discretionary annual incentive

Commuter benefits

Medical coverage

Job summary

Tata Consultancy Services is seeking a senior AI security specialist to lead security for GenAI and AI-enabled solutions in regulated environments.

You will define secure reference architectures, perform risk assessments, and implement safeguards for prompts, data handling, vectors, and APIs. Collaborate with data, cloud, privacy, and business teams to advance the AI security program.

Qualifications

• Experience in AI security architecture and secure LLM deployment.
• Ability to perform threat modeling for GenAI, LLM, and AI-enabled workflows.
• Familiarity with prompt injection, jailbreaking, data leakage prevention, and model abuse controls.
• Knowledge of vector databases, embeddings, and retrieval-augmented generation security.

Responsibilities

• Define secure reference architectures for AI/GenAI deployments.
• Perform threat modeling and risk assessments for AI use cases.
• Design safeguards against prompt injection, jailbreaks, data exposure, and unauthorized tool use.
• Establish security controls for model access, data, vectors, APIs, and plugins.
• Define AI security governance, standards, and risk-acceptance processes.
• Partner with cross-functional teams to implement security controls.
• Lead security assessments, POCs, red-team exercises, and workshops.
• Monitor emerging AI threats and translate into enterprise controls.
• Support development of AI security offerings.

Skills

AI security architecture

Secure LLM deployment

AI/GenAI threat modeling

Prompt injection controls

Data leakage prevention

RAG security

Vector security

AI agents security

AI governance

NIST RMF & OWASP guidance

Azure OpenAI

AWS Bedrock

Vertex AI

Regulated-industry experience

Education

Bachelor of Computer Science

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Job description

Job Description

• 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
• 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.

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

Qualifications

BACHELOR OF COMPUTER SCIENCE