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AI Architect, Global Insurance

NTT Data

AI Architect, Global Insurance

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 an AI Architect, Global Insurance to join our team in New York City, New York (US-NY), United States (US).

Experience

10–15 years overall experience, with 4–6 years in AI/ML architecture and solution design

Role Overview

We are seeking an experienced Insurance Solution Architect with a strong background in Generative AI, Machine Learning–based analytical solutions, and deep Insurance domain expertise. The ideal candidate will lead the design and architecture of scalable, secure, and production-grade AI solutions that address complex business problems across the insurance value chain. This role requires a blend of technical leadership, hands-on architecture skills, and strong understanding of insurance processes, data, and regulatory considerations.

Key Responsibilities
  • AI & GenAI Architecture
    • Define end-to-end Agentic, AI/ML, and Generative AI solution architectures aligned with business objectives and enterprise standards
    • Design and implement agentic AI use cases such as underwriting assistance, claims automation, document intelligence, customer engagement, fraud detection, and agent productivity
    • Architect LLM-based solutions including RAG pipelines, prompt engineering strategies, fine-tuning approaches, and orchestration frameworks
    • Evaluate and recommend LLMs, embedding models, vector databases, and GenAI platforms (open-source and commercial)
  • Advanced Analytics & Machine Learning
    • Design scalable ML solutions for predictive analytics, risk modeling, pricing, churn prediction, fraud detection, and customer segmentation
    • Oversee feature engineering, model lifecycle management, MLOps pipelines, and model monitoring strategies
    • Ensure solutions meet performance, explainability, fairness, and regulatory requirements critical to insurance
  • Insurance Domain Leadership
    • Apply deep knowledge of P&C, Life, Health, or Reinsurance domains to solution design
    • Translate insurance business problems into AI/ML use cases with measurable ROI
    • Collaborate with underwriting, claims, actuarial, fraud, and operations teams to shape AI-driven transformations
    • Ensure compliance with insurance regulations, data privacy, and model governance standards
  • Platform, Cloud & Engineering
    • Architect AI solutions on cloud platforms (AWS, Azure, GCP) using native AI/ML services where appropriate
    • Define data architectures integrating structured and unstructured insurance data (policies, claims, documents, images, voice, IoT, telematics)
    • Guide engineering teams on scalable APIs, microservices, event-driven architectures, and secure deployments
    • Establish best practices for AI governance, security, and responsible AI
  • Leadership & Collaboration
    • Act as a technical thought leader for AI within insurance engagements
    • Mentor data scientists, ML engineers, and solution architects
    • Support pre-sales, solutioning, and client workshops with technical credibility
    • Stay current with emerging AI, GenAI, and insurance technology trends
Minimum Skills Required
  • Technical Skills
    • Strong experience designing GenAI solutions using LLMs (OpenAI, Azure OpenAI, Anthropic, LLaMA, etc.)
    • Hands-on expertise in Machine Learning, NLP, deep learning, and statistical modeling
    • Experience with RAG architectures, vector databases (Pinecone, FAISS, Weaviate, etc.)
    • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
    • Experience with MLOps tools and CI/CD pipelines
    • Cloud experience: AWS / Azure / GCP (certifications preferred)
  • Insurance Domain Expertise
    • Strong understanding of insurance workflows: Underwriting, Claims, Policy Administration, Pricing, Fraud, Customer Service
    • Experience working with insurance data models, regulatory constraints, and audit requirements
    • Ability to design AI solutions that balance innovation, risk, and compliance
  • Architecture & Soft Skills
    • Proven experience as a Solution Architect / AI Architect in enterprise environments
    • Strong stakeholder management and communication skills
About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Vacancy posted 3 days ago
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