Senior AI Solutions Architect

New
V
VetsEZHealthcare IT
Remote OpportunityFull-TimeSenior
Salary not disclosed
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Job Details

Experience
10+ years designing enterprise software solutions; 5+ years designing cloud-native architectures utilizing AWS
Required Skills
AWSRESTful APIsPrompt EngineeringLLM

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, AI, Data Science, or equivalent experience.
  • 10+ years designing enterprise software solutions.
  • 5+ years designing cloud-native architectures utilizing AWS or comparable platforms.
  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.
  • Experience leading technical architecture across multidisciplinary engineering teams.
  • Proficiency in Amazon Bedrock, AWS services, LLMs, and RAG.
  • Experience with prompt engineering, source-grounded AI evaluation, and hallucination testing.
  • Proficiency in vector databases, embeddings, and semantic search.
  • Expertise in REST APIs and enterprise integration.
  • Knowledge of DevSecOps, CI/CD, and distributed systems.
  • Understanding of healthcare interoperability standards (FHIR, HL7, CCD).

Responsibilities

  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.
  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.
  • Architect secure AI pipelines supporting document access, retrieval, vector search, prompt orchestration, and AI-assisted summarization.
  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.
  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls in compliance with Federal requirements.
  • Serve as the technical leader for AI architecture across the JLV contract.
  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.
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