About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking an AI Architect to lead the design, development, and delivery of enterprise-scale Generative AI and agentic AI solutions on Google Cloud Platform. This role focuses on defining end-to-end AI/ML architecture strategy, building scalable LLM and multi-agent systems, and driving innovation using Vertex AI. You will play a key role in enabling intelligent automation through advanced AI frameworks while ensuring production readiness, governance, and business alignment. The position requires strong technical leadership, deep hands-on expertise, and client-facing consulting experience.
In this role, you will:
· Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP.
· Architect and implement LLM-based applications using Vertex AI services including Model Garden, Gemini API, and custom training pipelines.
· Design and develop multi-agent AI systems using Google ADK or equivalent frameworks (LangGraph, CrewAI, AutoGen).
· Build scalable Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Search, Vector Search, and BigQuery.
· Develop and manage LLMOps pipelines covering model versioning, evaluation, fine-tuning (SFT/RLHF/PEFT), and deployment using Vertex AI Pipelines.
· Leverage GCP-native services (Cloud Run, GKE, Dataflow, Pub/Sub, Apigee) to design and implement AI-first platforms.
· Provide technical leadership, mentor teams, and conduct architecture reviews ensuring governance and responsible AI practices.
· Define reusable design patterns, best practices, and reference architectures for LLM and agentic AI solutions.
· Collaborate with clients and stakeholders to define AI strategy, lead PoCs, solution demos, and RFP/RFI responses.
· Drive innovation adoption by evaluating emerging AI tools, models, frameworks, and enterprise AI capabilities.
What you need to have to be considered
· 15+ years of experience in AI/ML, cloud architecture, or enterprise digital transformation roles.
· Strong hands-on expertise in Google Cloud Platform including Vertex AI, BigQuery, Dataflow, GKE, Cloud Run, Pub/Sub, and IAM.
· Proven experience designing and delivering production-grade Generative AI and LLM-based applications.
· Deep knowledge of RAG architectures, embeddings, vector databases, prompt engineering, and model evaluation strategies.
· Experience building agentic AI systems using ADK or frameworks like LangGraph, CrewAI, or AutoGen.
· Strong programming skills in Python with experience in MLOps tools (Vertex AI Pipelines, MLflow, Kubeflow).
· Solid understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
· Strong leadership, stakeholder engagement, and consulting experience working with enterprise clients.
· GCP certifications (Professional Architect / ML Engineer) and experience in regulated industries are a plus.
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Applications will be accepted until 10 Jul 2026.
Salary and Other Compensation:
The annual salary for this position is between $[174,500 - 204,500] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
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。
