About this role
NTT DATA is seeking an AI Security Architect (Level L4) for its client in the Boston area. The role defines enterprise AI strategy and architects scalable AI and generative AI solutions, with a focus on security, governance and compliance across cloud and on-premises environments. The detailed posting specifies hybrid work from the client office, although the listing header says “Onsite.” The stated start date is August 16, 2026, and the duration is one year.
Responsibilities and deliverables:
- Develop an enterprise AI roadmap, reference architecture, reusable standards and technology recommendations. Design solutions connecting enterprise applications, APIs, cloud services and data platforms, including RAG, AI agents, copilots, intelligent automation and conversational AI.
- Define model-selection approaches, vector database and embedding architectures, prompt frameworks, orchestration pipelines, and MLOps/LLMOps practices covering CI/CD, version control, monitoring and model lifecycle management. Optimize infrastructure for performance, reliability, scale and cost.
- Establish AI governance and risk controls for privacy, explainability, bias, auditability and regulatory compliance. Design Zero Trust-aligned protections for models, APIs, prompts, embeddings and training data, addressing prompt injection, model poisoning, data leakage and adversarial attacks.
- Lead architecture reviews, assessments, proofs of concept and technical accelerators; guide and mentor engineering teams. Work with enterprise architects, the CISO, business leaders, data scientists and GRC, privacy and security teams. Present recommendations to executives and support proposals and client workshops.
Qualifications
A bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field is required; a master’s degree is preferred. The posting requires 10+ years in software engineering, cloud architecture or enterprise solution architecture, plus 5+ years designing enterprise AI or machine learning solutions. It lists AI/ML techniques, Python, Java, C#, REST APIs, SQL, cloud AI platforms, data technologies, AI frameworks, MLOps tools and security governance among the technical skills. Reinforcement learning and JavaScript are marked preferred. Strong strategic thinking, problem-solving, executive communication, leadership and stakeholder collaboration are sought. Listed cloud, ML, Databricks, NVIDIA and TOGAF certifications are preferred; CISSP and ISO/IEC 42001 certifications are specifically marked preferred.
The stated starting pay range is $110–$125 per hour. Listed benefits include medical, dental and vision insurance, spending or health savings accounts, AD&D insurance, an employee assistance program, 401(k) participation and other applicable benefits.