Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Role Overview
The GenAI / AIML Solution Architect owns the end-to-end architecture for the RSLA AI underwriting transformation. This senior onsite role combines enterprise architecture, AI/ML solution design, cloud integration, security, governance, and client-facing leadership to translate underwriting objectives into production-ready solution designs.
Key Responsibilities
Define overall GenAI/AIML architecture across ingestion, RAG, model orchestration, decision support, UI, security, auditability, and deployment.
Define architecture for AI-assisted claim validation, evidence retrieval, and decision-support workflows.
Define integration architecture for claims systems, underwriting platforms, document repositories, and enterprise data sources.
Create reference architecture, deployment blueprint, environment strategy, and integration approach across AWS services as applicable.
Define responsible AI, privacy, explainability, model risk, human oversight, and audit guardrails.
Align solution design with underwriting process, regulatory expectations, and operational scalability.
Establish explainability, auditability, governance and human review controls
Act as senior technical advisor to client sponsors, underwriting SMEs, IT, and data teams.
Lead architecture workshops and translate business goals into technical epics, solution options, and delivery decisions.
Present design choices, risks, dependencies, and implementation roadmap to senior stakeholders.
Review design and build outputs from onsite/offshore engineers.
Review architecture alignment for fraud detection, anomaly identification, and evidence-based recommendation services.
Guide RAG, LLM, prompt, data pipeline, integration, security, and evaluation design decisions.
Own architecture documentation, risk register inputs, and handover assets.
Required Skills & Experience
10+ years technology experience with 3+ years in AI/ML, GenAI, or enterprise AI architecture.
Strong experience with LLM application architecture, RAG, prompt engineering, AI evaluation, and model governance.
Cloud architecture experience across AWS and/or Azure, including secure APIs, storage, monitoring, IAM/RBAC, and deployment patterns.
Strong understanding of enterprise integration, data privacy, audit logging, CI/CD, and production readiness.
Excellent client-facing communication and ability to explain complex AI designs to business stakeholders.
Strong Advantage
Insurance, life underwriting, claims, or financial services domain exposure.
Experience with Azure OpenAI, Azure AI Search, CosmosDB, AWS Bedrock, Lambda, S3, EC2, or equivalent services.
Experience with LangChain, LangGraph, Azure AI Foundry Agent Service, or comparable orchestration frameworks.
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
