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The Senior Security Solutions Architect at NTT DATA is a pivotal role focused on consulting with clients to develop security strategies and architectural visions for enterprise-scale solutions. Candidates should possess advanced knowledge in security architecture, cloud security, and identity management, with a strong emphasis on compliance with frameworks like GDPR and HIPAA. A bachelor's degree in a relevant field is required, along with certifications such as CCNP Security and PCNSA. The role involves leading security modernization efforts and advising clients on emerging cybersecurity practices. This position is remote, offering flexibility in work arrangements.
Job Responsibility:
Contributes to the development of complex security-centric solution architectures across business, infrastructure, application, and cloud environments
Identifies and evaluates alternative security architectures and analyzes trade-offs in risk reduction, cost, performance, and scalability
Produces specifications for cloud or on-premises components with an emphasis on security controls, identity and access management, encryption standards, network segmentation, and compliance requirements
Designs components using modelling techniques that incorporate security-by-design principles, Zero Trust concepts, and industry frameworks (e.g., NIST CSF, ISO 27001)
Creates multiple design views for stakeholder concerns, including non-functional security requirements, and develops security proof-of-concepts (POCs)
Supports change programs with technical planning aligned to enterprise security architecture standards and regulatory requirements
Ensures solutions meet data protection and cybersecurity obligations (GDPR, HIPAA, PCI-DSS, SOC 2)
Leads understanding of client security requirements, gathers and analyzes threat/risk data, and provides expert remediation guidance
Advises clients on security modernization, cloud security, secure application design, and emerging cybersecurity practices
Recommends new security services and contributes to security go-to-market offerings
Provides coaching and mentoring to less experienced architects and engineers
Design and deliver secure architectures for AI-driven and agentic systems (LLMs, RAG, autonomous agents), addressing emerging risks such as prompt injection, data poisoning, and model/data leakage
Define and implement security controls across the AI lifecycle (data, model, inference, orchestration), embedding governance, identity, and policy into LLMOps/MLOps pipelines
Advise clients on securing human-to-agent and agent-to-agent interactions, applying zero trust principles and ensuring auditability, compliance, and safe autonomous behavior in production environments