Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Skills
FOCUS
Orchestration
Workflow
Debugging
Use Cases
Cloud Computing
Python
JavaScript
Java
Amazon S3
Prompt Engineering
Amazon Web Services
Splunk
Artificial Intelligence
Open Source
Generative Artificial Intelligence (AI)
Job Details
AI Engineer
Location: Malvern, PA (3 days onsite) - need to be onsite day one
Duration: 6-12 months
Role: GenAI Application Engineer (Mid-Level, AWS Focus)
About the Role
We're building a new GenAI engineering team focused on delivering intelligent, scalable solutions using Amazon Bedrock and Amazon Q Business. This mid-level role is ideal for hands-on developers passionate about AI agent orchestration, prompt engineering, and cloud-native architecture. You'll help shape the future of internal platforms by designing multi-step workflows, building reusable agent libraries, and driving responsible AI adoption across the enterprise.
Responsibilities
Minimum Qualifications
Preferred Qualifications
Location: Malvern, PA (3 days onsite) - need to be onsite day one
Duration: 6-12 months
Role: GenAI Application Engineer (Mid-Level, AWS Focus)
About the Role
We're building a new GenAI engineering team focused on delivering intelligent, scalable solutions using Amazon Bedrock and Amazon Q Business. This mid-level role is ideal for hands-on developers passionate about AI agent orchestration, prompt engineering, and cloud-native architecture. You'll help shape the future of internal platforms by designing multi-step workflows, building reusable agent libraries, and driving responsible AI adoption across the enterprise.
Responsibilities
- Design, develop, and deploy GenAI applications using Amazon Bedrock and Amazon Q Business
- Build and orchestrate AI agents to support multi-step workflows across internal platforms
- Develop reusable prompt libraries and agent strategies for enterprise use cases
- Ensure GenAI implementations align with responsible AI standards and governance
- Automate code generation, debugging, and consistency using LLMs and agentic frameworks
- Present GenAI capabilities and demos at internal forums and engineering communities
- Share best practices, prompt strategies, and use cases within the GenAI Community of Practice
- Participate in discovery events to identify and scope new GenAI opportunities
Minimum Qualifications
- 3 5 years of hands-on development experience in cloud environments (AWS preferred)
- Strong proficiency in Python, JavaScript, or Java
- Experience with AWS services including Lambda, S3, CloudFormation, ECS, and EventBridge
- Proven experience building GenAI or agentic applications in AWS
- Solid understanding of LLMs, RAG architecture, and prompt engineering techniques
Preferred Qualifications
- Familiarity with Amazon Q Business and Bedrock integration patterns
- Experience with observability tools (e.g., CloudWatch, Splunk)
- Exposure to AI governance and responsible AI frameworks
- Contributions to internal AI communities or open-source GenAI projects.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.