Senior AI Application Engineer (Remote Opportunity)
RemoteUnited States
Job Summary
Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) within an approved test environment. Build reusable AI services supporting prompt orchestration, document retrieval, and response generation using Amazon Bedrock to deliver secure, governed search and summarization capabilities. Develop RESTful APIs and backend services that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements. Optimize AI performance by balancing response quality, latency, and operational cost, and implement automated unit, integration, and functional tests for groundedness and clinical relevance. Collaborate with Solution Architects, cybersecurity teams, and clinical stakeholders throughout the Agile software development lifecycle to support the Joint Longitudinal Viewer (JLV) AI Summarization initiative.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience
- 8+ years developing enterprise software applications
- 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms
- Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions
- Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms
- Experience developing enterprise REST APIs and cloud-native application services
- Amazon Bedrock and AWS cloud services
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt engineering and AI evaluation
- Python, Java, or C#
- REST APIs and JSON
- Vector databases, embeddings, and semantic search
- Git, CI/CD, and DevSecOps
- Healthcare interoperability (FHIR, HL7, CCD)
- Strong understanding of modern software engineering principles and cloud-native application development
- Experience developing scalable, secure, and maintainable enterprise applications
- Excellent analytical, troubleshooting, and problem-solving skills
- Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams
- Ability to obtain and maintain a Government Public Trust clearance
- Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations
- Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation
- Experience implementing vector search, embeddings, semantic search, and prompt orchestration
- Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP
- Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC
Desired Qualifications
- AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable
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