About the Role:
We are looking for an experienced Senior Enterprise AI Engineer to design and build enterprise-grade AI solutions that automate complex business workflows using AWS Bedrock and modern cloud technologies.
This role focuses on developing end-to-end AI-powered automation workflows that integrate enterprise systems such as ServiceNow and SAP while leveraging Retrieval-Augmented Generation (RAG), knowledge bases, and Responsible AI practices.
The ideal candidate combines strong software engineering skills with hands-on experience building AI-powered enterprise applications, integrating complex business systems, and designing scalable cloud-native architectures.
Key Responsibilities:
- Design and develop enterprise AI solutions using AWS Bedrock.
- Build AI-powered workflow automation for complex business processes.
- Develop AI agents using AWS Bedrock Agents and Guardrails.
- Integrate enterprise platforms, including ServiceNow and SAP.
- Develop secure REST API integrations across enterprise applications.
- Build Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.
- Develop document-processing workflows, including PDF extraction and business-rule validation.
- Design cloud-native backend services using AWS.
- Build scalable React interfaces for AI-powered business applications.
- Develop GenAI CI/CD pipelines and automation workflows.
- Implement Responsible AI principles and governance across AI solutions.
- Collaborate with engineering and business teams to continuously improve AI capabilities.
Requirements:
- 5+ years of professional software engineering experience.
- Strong Python development experience.
- Experience building enterprise cloud applications.
- Hands-on experience with AWS cloud services.
- Experience integrating enterprise systems using REST APIs.
- Strong understanding of Generative AI application development.
- Experience working with distributed systems.
- Strong analytical and problem-solving skills.
- Strong written and verbal English communication skills.
Must Have:
- Strong Python development experience.
- Hands-on experience with AWS Bedrock.
- Experience building AI Agents using:
- AWS Bedrock Agents
- Guardrails
- Experience integrating enterprise systems through REST APIs.
- Experience with ServiceNow integrations.
- Experience integrating SAP using:
- BAPI
- OData
- Experience designing Retrieval-Augmented Generation (RAG) solutions.
- Experience with OpenSearch.
- Experience working with:
- DynamoDB
- Amazon S3
- Experience with Amazon Cognito.
- Experience developing React applications.
- Experience building enterprise workflow automation.
- Experience implementing Prompt Engineering techniques.
- Experience building GenAI CI/CD pipelines.
- Experience with GitHub Actions.
- Strong understanding of enterprise security and identity management.
Nice to Have:
- Responsible AI implementation experience.
- AI governance experience.
- Document intelligence solutions.
- OCR and PDF extraction experience.
- Enterprise knowledge base integrations.
- SharePoint integrations.
- Event-driven architectures.
- AWS API Gateway.
- EventBridge.
- Infrastructure as Code.
- Enterprise architecture experience.