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AI Security Architect

  • Source: LinkedIn
  • Tata Consultancy Services
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

Job Description 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

Skills

  • microsoft-azure
  • openai
  • amazon-web-services
  • bedrock
  • vertex

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