AI Architect JD:
Role Description:
We are seeking a highly skilled and passionate Consulting Architect / Lead to define and deliver the end-to-end vision, architecture, and successful production deployment of complex, autonomous AI systems (Agentic AI). This role requires a blend of strategic thinking and hands-on technical expertise to design scalable, secure, and high-performing AI/ML solutions on leading cloud platforms.
The candidate will join Cognizant’s AI Centre of Excellence (CoE), a strategic unit dedicated to driving our ambition to become an industry leader in AI. As part of this team, the candidate will work on high-impact, high-visibility projects that shape the future of AI-driven solutions for global enterprises. Beyond project delivery, the role offers ample opportunities for research, innovation, and the development of groundbreaking ideas that push the boundaries of AI technology
The candidate must have:
· Strong client-facing skills with ability to translate complex AI concepts into clear, compelling business solutions
· Track record of delivering rapid POCs and transitioning them into production-ready solutions.
· Deep knowledge of modern AI ecosystems: LLM and Agentic frameworks, model fine-tuning, Context engineering, vector databases, cloud AI services (AWS, Azure, GCP).
· Should have an understanding of prompt/context engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate).
· Proven experience implementing observability for models (drift, accuracy, bias, and performance).
The Candidate must be able to:
· Serve as the authority on product rationalization, critical architectural choices, trade-offs, and technology stack selection.
· Work closely with Product Owners to define requirements, Data Scientists, Business Stakeholders acting as the primary technical interface.
· Lead the design and development of agentic systems. This involves selecting the right frameworks (like CrewAI, LangGraph, etc or proprietary solutions) and architectural patterns.
· Engineer dynamic context using memory modules, prompt templates, and retrieval strategies.
· Define and enforce guardrails and context governance across agent interactions and LLM outputs. Prioritize security by implementing secure architecture patterns
· Design and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines, leveraging tools like Azure DevOps, GitHub Actions, or similar systems
Minimum Qualifications:
· Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Information Systems, or a related quantitative field (or equivalent experience) from reputed institutions
· 10+ years of experience in business consulting/Product management/data analysis roles with a focus on enterprise-scale data systems and tooling
· Proficiency in GenAI stack and scripting language such as Python. Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or equivalent, including designing multi-agent workflows and tool-augmented reasoning systems.
· Demonstrated experience supporting AI/ML projects with relevant data analysis and business understanding
· Good to have experience in working with large datasets, distributed data systems (e.g., Hive, Spark), and data visualization platforms (e.g., Tableau, PowerBI)
Soft Skills:
· Excellent communication and stakeholder management skills.
· Ability to lead technical discussions and influence decision-making.
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。
