Quick Summary
Key Responsibilities
AI & GenAI Architecture · Define end-to-end Agentic,
Technical Tools
OtherAi Architect
Req ID: 372838
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 a AI Architect, Global Insurance to join our team in New York City, New York (US-NY), United States (US).
Job Duties: Job Title: AI Architect, Global Insurance
Experience: 10–15+ years overall experience, with 4–6+ years in AI/ML architecture and solution design
Location: Client Location is in New Jersey and New York. Ideally to be local to these areas, if not travel to these locations will be required.
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
Required Skills & Experience
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.
About NTT DATA
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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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.
Location & Eligibility
Where is the job
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Location terms not specified
Listing Details
- Posted
- May 20, 2026
- First seen
- May 20, 2026
- Last seen
- May 20, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 20, 2026
Signal breakdown
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