Job Summary

AWS AI/ML Engineer

Role Summary

Develop, configure, integrate, test, and deploy Intelligent Document Processing solutions based on an established AWS reference architecture.

Key Responsibilities

1. Develop document processing workflows based on approved architecture.
2. Configure and integrate Amazon Bedrock, AgentCore, Textract, Comprehend, and A2I.
3. Build ingestion, classification, extraction, enrichment, validation, and routing workflows.
4. Develop serverless components using AWS Lambda and Python.
5. Implement ETL and processing pipelines using AWS Glue and S3.
6. Configure prompts, agent workflows, and orchestration logic.
7. Develop APIs and integrations with enterprise applications.
8. Implement exception handling and human review workflows using A2I.
9. Perform unit, integration, and performance testing.
10. Support deployment, production cutover, and hypercare activities.
11. Develop monitoring, logging, and troubleshooting capabilities.
12. Collaborate with architects and stakeholders to resolve implementation challenges.

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements

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Other Requirements

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