About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry insight with leading technology advisory capabilities, we partner with clients to design and deliver innovative, outcome-focused solutions.
About the role
As a Consulting Data & AI Architect, you will make an impact by helping clients move from AI experimentation to enterprise-scale, production-ready AI solutions. You will be a valued member of Cognizant’s Technology Consulting & AI practice and work collaboratively with clients, consulting leaders, engineers, and delivery teams across regions.
This role blends hands-on architecture, client advisory, and delivery leadership, with a strong focus on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging agentic AI systems.
In this role, you will:
- Lead the end-to-end architecture and delivery of enterprise-grade Data, AI, and Generative AI solutions, from concept through to production.
- Design and implement enterprise AI maturity assessments and governance frameworks to guide responsible AI adoption across client portfolios.
- Design and govern AI architectures leveraging LLMs, RAG patterns, vector databases, and agentic workflows to solve complex business problems.
- Define cloud-native AI solutions across AWS, Azure, and Google Cloud, ensuring scalability, security, reliability, and cost efficiency.
- Establish and oversee MLOps / LLMOps pipelines for model deployment, monitoring, lifecycle management, and continuous improvement.
- Act as a trusted advisor to senior client stakeholders, translating business needs into pragmatic AI architectures and delivery roadmaps.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Sydney, New South Wales. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you must have to be considered
- Proven experience designing and delivering Data, AI, or Generative AI solutions in enterprise or consulting environments.
- Proven experience delivering AI governance or assurance initiatives
- Strong knowledge of Responsible AI and enterprise risk frameworks
- Strong hands-on expertise with Generative AI technologies, including LLMs, RAG-based architectures, and vector databases.
- Experience architecting and delivering cloud-based AI solutions on AWS, Azure, or Google Cloud.
- Solid programming experience in Python, with a strong understanding of modern data and AI engineering practices.
- The ability to engage confidently with senior business and technology stakeholders in a consulting environment.
These will help you succeed
- Experience with agentic AI frameworks and orchestration tools such as LangChain, LlamaIndex, or similar.
- Knowledge of data engineering concepts, including data pipelines, APIs, unstructured data processing, and integration patterns.
- Familiarity with AI governance, security, and responsible AI practices.
- Experience supporting presales activities, including solution shaping, architecture inputs, and proposal contributions.
- A consulting mindset with comfort operating in ambiguous, fast-paced client environments.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed—your transferable skills and unique experiences matter.
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。
