Architect and 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-powered analytics systems that surface actionable insights from EHR, claims, and unstructured clinical data
Develop real-time dashboards for patient risk stratification, claims adjudication support, and proactive care team interventions
Translate ML outputs into decision-ready intelligence for providers, payers, and operations leaders
Lead cross-functional architecture sessions, code reviews, and design workshops
Mentor engineers in modern AI/ML development practices, scalable system design, and secure operations
Partner with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals
Apply strong problem-solving skills to analyze complex workflows, resolve integration challenges, and optimize AI-driven processes
Drive continuous improvement by identifying opportunities to enhance system performance, scalability, and maintainability
Contribute to innovation roadmaps by evaluating new AI/ML technologies and proposing solutions that deliver measurable impact in care coordination and claims management
Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems
Define architectural patterns and reusable components that accelerate development while ensuring compliance and performance
Translate business and clinical requirements into technical designs and create design documentation and technical blueprints
Contribute to various projects and initiatives as assigned, demonstrating adaptability and a collaborative mindset.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or a related field
4+ years of software engineering experience
At least 1 year in a leadership role guiding teams or projects
Strong coding ability in Python, TypeScript, and Node.js
Solid understanding of cloud-native microservices and event-driven architectures
Hands-on experience applying LLMs, NLP, or Intelligent Document Processing (IDP) in production environments
Experience with 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 highly desirable
Familiarity with AI-driven developer tools such as GitHub Copilot or Cursor
Proven ability to collaborate effectively with technical teams and healthcare stakeholders
Prior federal government experience preferred
Active or the ability to obtain a government clearance
Must reside within the continental US
Sorry, we are unable to offer sponsorship at this time.
Benefits
Medical/Dental/Vision
401k with Employer Match
PTO + Federal Holidays
Corporate Laptop
Training Opportunities
Remote Opportunity
Applicant Tracking System Keywords
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