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# Senior AWS Bedrock AI Engineer

- **Company:** Artech
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Salary:** $135,200 - $141,440
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Database Queries, Identity and Access Management, Python (Programming Language), PostgreSQL, Reference Data, Bedrock Knowledge Bases, Tensorflow, Amazon Simple Notification Service (SNS), Data Logging, Scripting, Chatbots, AWS Lambda, Servicebus, Amazon Bedrock, Functional Programming, Cloudwatch, Amazon Simple Queue Service (SQS), Web Api
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-aws-bedrock-ai-engineer-malvern-pa--8dedc95e-e976-4685-bb23-ef86330bfcdf

## About the Role

Amazon Web Services (AWS), Artificial Intelligence (AI), Knowledge Base, Amazon Simple Storage Service (S3), AWS Lambda, Amazon Web Services (AWS), Python Programming/Scripting Language, Simple Queue Service (SQS), PostgreSQL, Lambda Architecture, * Amazon Bedrock - Model Invocation, Agents, Knowledge Bases, and Guardrails.

 * Strong AWS fundamentals: Python, Lambda, S3, SQS, SNS, EventBridge, CloudWatch, IAM, and Secrets Manager.
 * Traditional ML frameworks.
 * PostgreSQL.
 * Event-driven Lambda architectures.
 * 10+ years of overall experience.
 * 7+ years in Amazon Web Services (AWS) Cloud Computing.
 * Artificial Intelligence (AI).
 * Data Concepts & Data Modelling.
 * Chatbots / Conversational Agents.
 * AI and Automation.

## Description

* Design, build, and optimize Bedrock-powered pipelines replacing custom-trained NLP and rule-based models across multiple production Lambda functions.
 * Develop and iterate on prompts, agentic workflows, and tool-use patterns that extract transaction attributes from complex financial documents - PDFs, Excel, Word, and images.
 * Implement Bedrock Knowledge Bases to replace hardcoded business rules and fragile per-invoice API calls with managed, queryable reference data.
 * Build and maintain an evaluation harness to measure FM extraction accuracy against historical ground truth, enforcing accuracy gates before any production promotion.
 * Integrate Bedrock Agents with internal APIs using tool-use patterns, replacing legacy direct database queries.
 * Participate in parallel-run infrastructure, running old and new systems side by side in TEST, logging divergence, and driving statistical validation before cutover.
 * Contribute to team knowledge transfer. This role works closely with senior AI engineers who lead FM and Bedrock capability across the team.