AI Architect, Global Insurance

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

Experience: 10-15+ years overall experience, with 4-6+ years in AI/ML architecture and solution design, 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., Technical Skills

· Must have 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, and vector databases (Pinecone, FAISS, Weaviate, etc.)

· Must have Python and ML frameworks experience (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

Highly Preferred Skills and Experience;

Architecture & Soft Skills

· Proven experience as a Solution Architect / AI Architect in enterprise environments

· Strong stake

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role will depend on the nature of the role offered and will either be $166,995- $290,000. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.