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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
