AI Security Architect

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,

NTT DATA's Client is currently seeking an AI Security Architect to join their team in Boston, Massachusetts (US-MA), United States (US).

• The AI Architect is responsible for defining the enterprise AI strategy, designing scalable AI and Generative AI solutions, and leading the technical architecture for AI-driven products and business transformation initiatives.
• The role bridges business objectives with emerging AI technologies, ensuring secure, scalable, ethical, and compliant AI implementations across cloud and on-premises environments.

The AI Architect works closely with business stakeholders, enterprise architects, data engineers, security teams, application developers, and data scientists to deliver production-ready AI solutions while establishing enterprise AI governance, standards, and best practices.

• AI Strategy & Architecture
• Define enterprise AI architecture aligned with business strategy and digital transformation objectives.
• Design scalable AI, Machine Learning (ML), and Generative AI solution architectures.
• Develop AI reference architectures, reusable frameworks, and implementation standards.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Establish enterprise AI roadmaps and technology blueprints.
• Solution Design
• Design end-to-end AI solutions integrating enterprise applications, cloud platforms, APIs, and data platforms.
• Architect Retrieval-Augmented Generation (RAG), AI agents, copilots, intelligent automation, and conversational AI solutions.
• Define model selection strategies for LLMs, foundation models, and traditional ML models.
• Design vector databases, prompt engineering frameworks, embeddings, and orchestration pipelines.

• Design AI platforms leveraging Azure AI, AWS AI, Google Vertex AI, OpenAI, Anthropic, or similar technologies.
• Define scalable MLOps and LLMOps architectures.
• Establish model lifecycle management, CI/CD pipelines, monitoring, and version control.
• Optimize AI infrastructure for performance, scalability, reliability, and cost efficiency.
• Governance, Risk & Compliance
• Establish AI governance frameworks, responsible AI principles, and model risk management practices.
• Ensure compliance with AI regulations, privacy requirements, and security standards.
• Define controls for data protection, explainability, bias detection, model monitoring, and auditability.
• Collaborate with GRC, Privacy, and Security teams to implement AI risk controls.

• Design secure AI solutions following Zero Trust principles.
• Define security controls for AI models, APIs, prompts, embeddings, and training data.
• Implement identity management, encryption, access controls, and secure deployment practices.
• Address AI-specific threats including prompt injection, model poisoning, data leakage, and adversarial attacks.

• Provide architectural guidance to AI engineers, data scientists, and development teams.
• Lead architecture reviews and technology assessments.
• Mentor technical teams on AI best practices and emerging technologies.
• Drive innovation through proof-of-concepts (POCs), pilots, and accelerator development.
• Stakeholder Management
• Collaborate with Enterprise Architects, CISO, business leaders to identify AI opportunities.
• Translate business requirements into AI solution architectures.
• Present architecture designs and technical recommendations to executive stakeholders.
• Support pre-sales activities, solution proposals, and client workshops.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Master's degree preferred.
• 10+ years of experience in software engineering, cloud architecture, or enterprise solution architecture.
• 5+ years of experience designing enterprise AI or…