Sr Security Solutions Architect (Pre-Sales)
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Your day at NTT DATA
The Senior Security Solutions Architect is an advanced subject matter expert responsible for consulting with clients and partnering with internal Technology Solutions teams to define security-focused strategies, transformational designs, and architectural visions for complex, enterprise-scale solutions.
This role provides multi-technology and cybersecurity consulting services across application, infrastructure, cloud, data, and security technology domains, ensuring that solutions are designed and delivered in alignment with modern security frameworks, industry best practices, and client risk profiles.
Key Responsibilities
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Contributes to the development of complex security-centric solution architectures across business, infrastructure, application, and cloud environments.
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Identifies and evaluates alternative security architectures and analyzes trade-offs in risk reduction, cost, performance, and scalability.
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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.
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Designs components using modelling techniques that incorporate security‑by‑design principles, Zero Trust concepts, and industry frameworks (e.g., NIST CSF, ISO 27001).
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Creates multiple design views for stakeholder concerns, including non‑functional security requirements, and develops security proof‑of‑concepts (POCs).
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Supports change programs with technical planning aligned to enterprise security architecture standards and regulatory requirements.
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Ensures solutions meet data protection and cybersecurity obligations (GDPR, HIPAA, PCI‑DSS, SOC 2).
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Leads understanding of client security requirements, gathers and analyzes threat/risk data, and provides expert remediation guidance.
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Advises clients on security modernization, cloud security, secure application design, and emerging cybersecurity practices.
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Recommends new security services and contributes to security go‑to‑market offerings.
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Provides coaching and mentoring to less experienced architects and engineers.
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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
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Define and implement security controls across the AI lifecycle (data, model, inference, orchestration), embedding governance, identity, and policy into LLMOps/MLOps pipelines
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Advise clients on securing human-to-agent and agent-to-agent interactions, applying zero trust principles and ensuring...