Senior AI Security Architect

Senior AI Security Architect

Req ID: 383225 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior AI Security Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

SENIOR AI SECURITY ARCHITECT
Locations: Bangalore/Chennai/Delhi NCR/Pune/Hyderabad.
Role Purpose: Own the security architecture and controls for enterprise AI/ML, GenAI, RAG and agentic platforms across AWS, Azure, GCP and private/hybrid clouds. Enable safe adoption by translating AI risks into reusable guardrails, reference designs, secure SDLC/MLOps/LLMOps controls and measurable risk reduction.
KEY RESPONSIBILITIES
•    Define target-state security architecture, guardrails and design patterns for LLM/RAG/agent workloads, model serving, data pipelines and AI APIs from prototype to production.
•    Lead AI threat modeling using STRIDE/PASTA plus OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF; address prompt injection, sensitive data disclosure, poisoning, model extraction, supply-chain risks, vector/embedding abuse, excessive agency and unbounded consumption.
•    Embed security in SDLC/MLOps/LLMOps: secure CI/CD, IaC policy-as-code, model/data approvals, prompt versioning, SBOM/AI BOM, signed containers/models and release gates.
•    Design controls for IAM/PAM, Zero Trust, API gateways, network segmentation/private endpoints, secrets/KMS/HSM, encryption, DLP, content safety, tenant isolation and RAG data authorization.
•    Design equivalent secure AI controls across AWS, Azure, GCP and private/hybrid cloud: identity/least privilege, network isolation, encryption/KMS/HSM, content safety/guardrails, secure MLOps/LLMOps, data governance, logging, monitoring, incident response, compliance automation and cost/abuse controls.
•    Establish AI red-teaming/evaluation covering jailbreaks, prompt injection, adversarial inputs, data leakage, tool misuse, unsafe outputs, privacy and abuse cases; track remediation.
•    Define observability and SecOps for prompt/model/API telemetry, anomaly detection, SIEM/SOAR integrations, guardrail events, audit logging, AI incident runbooks and tabletop exercises.
•    Drive governance with Legal/Risk/Data teams: policy, model cards, vendor assessments, data retention, audit trails, risk exceptions and compliance mapping (ISO 27001, SOC 2, ISO/IEC 42001, EU AI Act where applicable).
•    Review product designs, HLD/LLDs, vendor proposals and architecture decisions; influence engineering teams without creating unnecessary delivery friction.
•    
•    The AI Security Architect should be able to define baseline, or “floor-level,” security principles, standards, guardrails, and reference controls for the overall AI practice or platform. These controls should establish the minimum mandatory security posture while allowing individual projects to strengthen or extend them gracefully based on their specific risk profile, regulatory requirements, data sensitivity, and deployment context.
REQUIRED EXPERIENCE & SKILLS
•    10+ years in cybersecurity, cloud/app security or security architecture; 3+ years securing AI/ML/GenAI solutions in production.
•    Working knowledge of LLMs, embeddings/vector databases, RAG, agentic workflows, function/tool calling/MCP, model training/fine-tuning/inference, data lineage and model evaluation.
•    Hands-on architecture across cloud-native, Kubernetes/container, API/microservices and identity platforms; comfortable with OAuth2/OIDC, mTLS, RBAC/ABAC, WAF/API gateways, secrets and key management.
•    Familiarity with AI/security tooling such as promptfoo, garak, PyRIT, Giskard, Guardrails AI, NeMo Guardrails/Llama Guard, MLflow, LangChain/LlamaIndex/LangSmith, SIEM/SOAR, CNAPP/CSPM/CWPP and SAST/SCA/DAST/container/IaC scanners.
•    Strong stakeholder communication; able to create concise threat models, security standards, risk papers and executive-level trade-off recommendations.
•    Preferred: CISSP/CCSP/CISM/SABSA/TOGAF, AWS/Azure/GCP security certification, AI governance/security training, and regulated-industry experience.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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Experience Level

Senior Level