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VetsEZ · 1 day ago

AI Solutions Engineer (Remote Opportunity)

United States

Full-time

Remote

Mid Level

VetsEZ is committed to transforming healthcare delivery through technology and innovation. They are seeking an AI Solutions Engineer to design and deliver intelligent solutions that enhance patient care and claims management across their platforms.

DatabaseInformation ServicesInformation TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

Responsibilities

Implement AI-enabled backend services within a secure, cloud-native microservices environment

Design and scale Intelligent Document Processing (IDP) pipelines to extract and validate data from claims, authorizations, and medical documentation

Integrate LLMs and intelligent agents into clinical and claims workflows to streamline patient and provider interactions

Build AI Agents that surface actionable insights from EHR, claims, and unstructured clinical data

Translate ML outputs into decision-ready intelligence for providers, payers, and operations leaders

Support cross-functional architecture sessions, code reviews, and design workshops

Engineer modern AI/ML development practices, scalable system design, and secure operations

Work with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals

Drive continuous improvement by identifying opportunities to enhance system performance, scalability, and maintainability

Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems

Translate business and clinical requirements into technical designs that are intuitive for end-users and sustainable for engineering teams

Create design documentation and technical blueprints that guide implementation and ensure alignment with enterprise healthcare standards

Qualification

AI/ML system designPythonAWS cloud servicesIntelligent Document ProcessingHealthcare interoperability standardsFull-stack developmentCollaboration with stakeholdersAI toolsCommunication skills

Required

Bachelor's degree in computer science, Software Engineering, or a related technical field

Experience in using and designing with Agent-2-Agent (A2A) and Model Context Protocols (MCP)

Strong communications skills with ability to drive product vision and mission to completion

Strong coding ability in Python, TypeScript, and Node.js, with a solid understanding of cloud-native microservices and event-driven architectures

Strong understanding and experience in using AWS cloud native services and tools

Hands-on experience applying LLMs, NLP, or Intelligent Document Processing (IDP) in production environments, using platforms such as OpenAI, Bedrock, Cohere, or Claude

Knowledge of healthcare interoperability standards (FHIR, HL7, X12) and data governance in regulated environments; prior experience with claims adjudication, care coordination, or patient engagement systems is highly desirable

Familiarity with AI-driven developer tools such as GitHub Copilot and Cursor

Proven ability to collaborate effectively with both technical teams and healthcare stakeholders to deliver impactful solutions

Ability to obtain a government clearance