Practice - AIA - Artificial Intelligence and Analytics
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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 Orchestration Engineer to design and operate intelligent, end-to-end automation solutions across Supply Chain IT systems. This role focuses on building agentic AI pipelines that integrate with enterprise platforms such as ERP, ServiceNow, and supply chain applications. You will act as the bridge between AI/ML capabilities and enterprise systems, enabling automated workflows across procurement, logistics, inventory, and fulfillment. The position requires strong expertise in AI orchestration frameworks, enterprise integrations, and cloud-native architectures.
In this role, you will:
· Design and implement AI orchestration pipelines using frameworks such as LangChain, LangGraph, AutoGen, or similar.
· Develop agent-based workflows with tool integration, memory, and reasoning loops for supply chain use cases.
· Build and optimize prompt engineering strategies, RAG pipelines, and LLM workflows tailored to enterprise data.
· Integrate AI orchestration layers with enterprise systems including ERP platforms, ITSM tools, and supply chain applications.
· Develop APIs, event-driven connectors, and middleware integrations (REST, GraphQL, Kafka, etc.) for real-time data flow.
· Deploy and manage AI workloads using cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and serverless frameworks.
· Implement observability, logging, and monitoring for AI pipelines using tools like MLflow, Datadog, or OpenTelemetry.
· Ensure security, compliance, and reliability of AI systems handling sensitive business data.
· Collaborate with business, product, and IT teams to identify and implement AI-driven automation opportunities.
· Mentor junior engineers and contribute to AI best practices and architecture standards.
What you need to have to be considered
· 3+ years of experience building AI orchestration pipelines, agent-based systems, or LLM-driven applications in production.
· Strong experience integrating enterprise systems via APIs, webhooks, and middleware platforms.
· Hands-on proficiency with AI/LLM frameworks such as LangChain, Semantic Kernel, AutoGen, or similar.
· Strong programming skills in Python (primary) and/or Java/Node.js.
· Experience with API design (REST, GraphQL) and messaging systems such as Kafka or RabbitMQ.
· Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
· Knowledge of CI/CD pipelines and DevOps practices.
Preferred
· Experience in supply chain, logistics, manufacturing, or related domains.
· Familiarity with enterprise integration platforms (iPaaS tools) and ITSM systems.
· Experience with vector databases and RAG-based architectures.
· Knowledge of AI governance, responsible AI practices, and LLM security considerations.
· Relevant certifications in cloud or AI/ML platforms.
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Applications will be accepted until 26 Jun 2026.
Salary and Other Compensation:
The annual salary for this position is between $[133,000 - 156,500] 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。
