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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.
#LI-EF1
#CB
#Ind123
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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
