Key skills
Python programmingLangChainLlamaIndexAmazon BedrockAWS LambdaAmazon S3API GatewayAWS Step FunctionsAmazon SageMakerREST APIsJSONEnterprise integration patternsCloud-native application developmentNLP applicationsLLM-powered applicationsPrompt engineeringRetrieval-augmented generation (RAG)AI agent tool orchestrationSAP S/4HANAIvaluaAmazon KendraOpenSearchAWS Certified Machine Learning SpecialtyAWS Certified DeveloperPythonAIMachine LearningNLPLLMRAGAgenticAWSLambdaS3SageMakerBedrockSAPCommunicationCollaboration
About this role
Cognizant is a leading digital services company, and they are seeking an AI Engineer to design and deliver AI-powered automation solutions for procurement processes. The role involves collaborating with a cross-functional team to build intelligent AI agents on AWS, focusing on automating workflows and integrating solutions with enterprise platforms.
Responsibilities:
- Design, develop, and deploy AI agent solutions that automate procurement workflows, including intake processing, supplier evaluation, and document analysis
- Build and orchestrate LLM-driven workflows using Amazon Bedrock, AWS Step Functions, and related AWS-native services
- Integrate AI solutions with enterprise platforms such as SAP S/4HANA and procurement applications using APIs and event-driven architectures
- Develop and maintain scalable data pipelines supporting structured and unstructured procurement data across AWS services
- Collaborate with technical and business stakeholders to optimize agent behavior, prompt engineering strategies, performance, governance, and compliance requirements
Requirements:
- 3+ years of software engineering, AI engineering, or machine learning experience, including hands-on experience developing AI agent or LLM-based solutions
- Strong Python programming skills and experience with frameworks such as LangChain, LlamaIndex, or similar agentic AI frameworks
- Experience with AWS services including Amazon Bedrock, AWS Lambda, Amazon S3, API Gateway, Step Functions, and SageMaker
- Knowledge of REST APIs, JSON, enterprise integration patterns, and cloud-native application development
- Experience building, deploying, or supporting NLP and LLM-powered applications in production environments
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and AI agent tool orchestration techniques
- Ability to deliver high-quality solutions in fast-paced, deadline-driven environments
- Strong communication and collaboration skills with both technical and non-technical stakeholders
- Experience supporting procurement, supply chain, accounts payable, or finance transformation initiatives
- Knowledge of SAP S/4HANA, Ivalua, or other enterprise procurement platforms
- Experience implementing RAG solutions using Amazon Kendra, OpenSearch, or similar technologies
- AWS certifications such as AWS Certified Machine Learning Specialty or AWS Certified Developer
- Experience working in startup, innovation, or forward-deployed engineering environments
- Exposure to financial operations, reconciliation, treasury, or order management processes