AWS AI Engineer / Developer

We are seeking talented AWS AI Engineers / Developers to join our team in building innovative agentic AI solutions. This role focuses on implementing intelligent, automated workflows that enhance clinical data processing and decision-making, leveraging the power of AWS services and cutting-edge open-source AI frameworks. Experience in healthcare or Life Sciences, with a strong focus on regulatory compliance, is highly desirable.

Key Responsibilities:

1. Design, develop, and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation to enhance data quality and reliability.
2. Build and integrate LLM-powered agents using AWS Bedrock in combination with open-source frameworks like LangChain and AutoGen.
3. Create robust, event-driven pipelines leveraging AWS Lambda, Step Functions, and EventBridge for seamless orchestration of data and processes.
4. Optimize prompt engineering techniques, implement retrieval-augmented generation (RAG), and facilitate efficient multi-agent communication.
5. Integrate AI agents securely with external applications and services through well-defined, secure APIs.
6. Collaborate with Data Engineering teams to design and maintain PHI/PII-safe data ingestion pipelines, ensuring compliance with privacy regulations.
7. Continuously monitor, test, and fine-tune AI workflows focusing on improving accuracy, reducing latency, and ensuring compliance with industry standards.
8. Document solutions and contribute to the establishment of best practices and governance frameworks.

Required Qualifications:

1. Bachelor's degree in Computer Science, Engineering, or a related technical field.
2. 36 years of hands-on experience in AI/ML engineering, with specific expertise in LLM-based or agentic AI development and deployment.
3. Strong programming skills in Python and/or TypeScript.
4. Practical experience with agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen.
5. Solid understanding of AWS AI services including Bedrock, SageMaker, Textract, and Comprehend Medical.
6. Proven experience in API development and integration, as well as designing event-driven system architectures.
7. Knowledge of healthcare or Life Sciences domains, including regulatory compliance requirements (HIPAA, GDPR, etc.), is preferred.
8. Strong problem-solving mindset, with a focus on experimentation, iteration, and delivering innovative solutions rapidly.

Preferred Skills:

1. Effective communication and collaboration skills, with the ability to work closely with cross-functional teams.
2. Passion for emerging AI technologies and cloud innovations.
3. Prior exposure to clinical or life sciences data workflows is a strong advantage.