Senior AWS Bedrock AI Engineer

Develop and iterate on prompts, agentic workflows, and tool-use patterns that extract transaction attributes from complex financial documents – PDFs, Excel, Word, and images. Role Description: Design, build, and optimize Bedrock-powered pipelines replacing custom-trained NLP and rule-based models across multiple production Lambda functions.

Job Title : Senior AWS Bedrock AI Engineer
Location: Malvern, PA (Onsite)
Duration: 6 Months


Salary Range: $65.00 - $68.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on
 
Job Description:
Required Skills:

• 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.

Role 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.