Senior Enterprise AI Engineer (AWS Bedrock)

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.