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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
