AWS Cloud-Native Engineer (Intelligent Document Processing / Data Extraction)

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

We’re hiring a Cloud-Native Engineer to lead the development of a serverless Intelligent Document Processing (IDP) platform using AWS Bedrock and Bedrock Data Automation. The role focuses on scalable document extraction, classification, and data automation across unstructured inputs. 

• Build and maintain IDP pipelines leveraging AWS services (Textract, Bedrock, Step Functions, Lambda, S3, DynamoDB). 
• Leverage Amazon Bedrock Data Automation to support dynamic extraction logic and structured data generation. 
• Develop prompt templates and Bedrock agents for entity recognition, summarization, and structured output generation. 
• Automate document classification, metadata extraction, and validation flows using Bedrock model orchestration. 
• Manage infrastructure and deployment using AWS CDK (TypeScript). 
• Contribute to data automation frameworks for retraining, evaluation, and continuous improvement. 
• Integrate with external APIs or data stores for downstream system ingestion. 

• 5+ years of AWS cloud-native development experience. 
• Proficiency with AWS CDK (TypeScript), serverless architecture, and Bedrock LLM APIs. 
• Hands-on experience with Intelligent Document Processing, Amazon Textract, and data extraction pipelines. 
• Experience extending or customizing AWS IDP Accelerator solutions. 
• Familiarity with prompt and context engineering, document vectorization, and data grounding. 
• Strong background in automation, data quality validation, and serverless AI workflows. 

At Allata, we value differences.

Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.

This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.