Vytalize Health

Platform Engineer

• Lead design and implementation of the CDS Hooks platform, including card orchestration, hook context handling, EHR-side logic orchestration, and integration with downstream data services
• Own CDS Hook API contracts and evolution, ensuring compliance with SMART CDS Hooks specification while adding performance, reliability, and healthcare-specific optimizations
• Lead technical integration with EMR systems (Epic, NextGen, Athena, ECW) for CDS Hook discovery, execution, card rendering, and user action handling
• Design, build, and maintain public-facing REST and event-driven APIs exposing clinical data, quality metrics, care gaps, attribution data, and decision support content to partners and provider-facing applications
• Establish API contracts, versioning strategies, and deprecation policies that balance innovation with stability for external consumers
• Implement and maintain API security patterns including OAuth 2.0, scope-based authorization, rate limiting, and audit logging for compliant clinical data access
• Design and optimize real-time or near-real-time data pipelines feeding CDS Hooks and APIs—ensuring low latency, high freshness, and graceful failure modes
• Design and implement comprehensive testing and QA frameworks for CDS Hooks and APIs — including hook context validation, card rendering verification, and clinical workflow testing across EMR systems
• Establish reliability metrics and SLAs (latency, availability, freshness) for CDS Hook delivery and API performance; measure and track against clinical requirements
• Define and measure clinical impact metrics — adoption of CDS Hooks, clinician interaction rates, workflow integration success, and patient outcome influence
• Exercise architectural judgment across tradeoffs in correctness, latency, scalability, maintainability, and operational risk in clinical data systems
• Design and implement reliability patterns for CDS and API services including monitoring, alerting, failure detection, graceful degradation, and incident recovery
• Partner with Data Reliability Engineer to define and operate SLAs for CDS Hook delivery, API response times, and data freshness aligned to clinical needs
• Establish and uphold engineering standards for API design, data schemas, integration patterns, and interoperability; maintain high-quality technical documentation and OpenAPI specifications
• Partner with Data Engineering to align upstream data models, gold-layer datasets, and platform capabilities with clinical decision support and API requirements
• Serve as the technical authority on clinical interoperability standards (SMART CDS Hooks, FHIR, HL7, CDS Hooks, EHR integration patterns)
• Collaborate with Product, Clinical Operations, and Business stakeholders to clarify requirements, translate clinical workflows into platform features, and shape product direction
• Act as trusted technical advisor to EMR partners, healthcare systems, and external API consumers; ensure expectations and delivery are well-defined and predictable
• Ensure all CDS and API services comply with healthcare security, privacy, and regulatory requirements (HIPAA, state regulations, payer mandates)
• Partner with IT Security and Compliance teams to implement secure access controls, audit logging, encryption, and data protection measures across delivery mechanisms
• Design and implement audit trails for all clinical data access; support compliance audits and regulatory reporting
• Mentor team members through design reviews, pairing, and architectural guidance on clinical data integration and API design
• Document new and existing systems, designs, processes, and procedures

Platform Engineer – Data Services

Data Scientist

• Lead, mentor, and develop a team of Clinical Applications Specialists to deliver proactive practice engagement, workflow optimization, and clinical data enablement across the partner network
• Serve as the subject matter expert for EHR systems and clinical applications, owning complex issue resolution end-to-end and establishing escalation and resolution standards for the team
• Partner with Practice Transformation Managers, Operations, Performance, and internal technology teams to align EHR optimization efforts with value-based care program goals and quality reporting requirements
• Develop and maintain standardized EHR workflow guidance, templates, and optimization playbooks - driving discrete data capture at the point of care and enhancing the quality and amount of the clinical data points
• Manage clinical data integration activities including data feed operations, vendor coordination, and integration deployments - ensuring data flowing from partner EHRs into downstream infrastructure is complete and accurate
• Identifying and remediate data gaps in collaboration with internal engineering team, EHR vendors, and partner practices
• Own QRDA I file acquisition and submission operations, including extraction coordination, file validation, error identification, and follow-up with practices and vendors
• Develop and maintain processes to ensure appropriate CEHRT identification and timely updates across the partner portfolio as required by CMS
• Lead point-of-care workflow tool implementation and adoption across the partner network, coordinating practice readiness, configuration, and post-launch optimization
• Serve as the operational voice for the product and quality enablement teams by translating field-level EHR and data feed findings into clear, actionable inputs that drive engineering remediation efforts

Senior Manager, Clinical Applications – Data Integration

Operations

• Own the IT operating model for the MSO, defining which services are delivered centrally to managed practices and how they are standardized, supported, and measured.
• Lead IT integration of newly acquired and affiliated practices, including discovery, network and connectivity, identity, endpoints, application access, and cutover to Vytalize standards.
• Own the end-user experience across corporate, clinical, and practice-based users, including service desk, endpoint management, onboarding/offboarding, and escalation.
• Build and mature ITSM processes for incident, request, problem, and change management within Jira Service Management.
• Define and report on operational metrics, including resolution times, uptime, CSAT, and first-contact resolution, across both corporate and practice environments.
• Oversee core infrastructure, cloud operations, identity and access management, and endpoint security across multiple entities.
• Establish and enforce IT standards for practice sites, including hardware, connectivity, access, and support expectations.
• Own business continuity and disaster recovery planning and testing for systems clinical teams and practices depend on.
• Partner with Enterprise Applications and Data teams on the systems practices rely on day to day, including EHR access and clinical workflow tooling.
• Partner with Information Security and Compliance on audit readiness, evidence collection, and remediation.
• Ensure IT operations meet HIPAA, HITRUST, and SOC 2 requirements across all entities, building compliance into process rather than bolting it on.
• Manage the IT budget, vendor relationships, and third-party support arrangements that underpin service delivery.
• Lead and grow the internal IT team, and build the support model that scales as practices are added.
• Serve as the senior IT voice to executive leadership and partner cross-functionally with Clinical, Practice Operations, People Operations, and Corporate Development.
• Translate business priorities into an IT operating roadmap that scales with headcount, practices, and markets.

VP, IT Operations

Data Engineer

• Design and build full-stack features spanning React frontends, Python/FastAPI backends, and supporting data models and transformations
• Develop and maintain data models and transformation pipelines (dbt preferred) that feed application and analytics layers; ensure data flowing into applications is well-modeled, tested, and reliable
• Design and implement REST APIs serving clinical data, quality metrics, care gaps, and decision support content to internal applications and external partners
• Implement API contracts, versioning strategies, authentication/authorization patterns (OAuth/OIDC), and rate limiting for compliant clinical data access
• Build responsive, accessible React user interfaces with modern component patterns; collaborate with product and clinical teams to translate requirements into intuitive UIs
• Design and implement comprehensive testing strategies — unit tests, integration tests, end-to-end tests, and data validation tests — to ensure reliability across the stack
• Conduct and support QA activities including test planning, test case design, manual testing, and establishing testing standards; work closely with QA engineers and clinical testers to validate functionality and user experience
• Write clean, tested, maintainable code across the stack; participate actively in code review and help raise code quality standards
• Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, or similar) deliberately and effectively — leveraging them for scaffolding, refactoring, test generation, and documentation while maintaining code quality and understanding
• Define and measure success metrics for features — including usage, adoption, clinical workflow impact, and data quality — to drive iterative improvements and prioritization
• Partner with product and data teams to establish KPIs and dashboards that measure feature impact on clinician workflows, care coordination, and operational efficiency
• Troubleshoot and resolve issues across the full stack — from UI bugs to API failures to data pipeline problems; trace issues end-to-end and implement durable fixes
• Collaborate with data engineering to ensure API data contracts are well-defined and upstream data models support application needs
• Participate in architecture and design discussions including API design, authentication patterns, data contract definition, and system reliability
• Raise data quality or data modeling concerns early in the development process rather than letting them surface downstream
• Contribute to technical documentation including API specifications, data dictionaries, runbooks, and architectural decisions
• Support production systems through on-call rotations, incident response, and post-incident improvements
• Mentor junior engineers and contribute to team process improvement and knowledge sharing

Full Stack Engineer, Data Services

DevOps Engineer

• Own and continuously improve the reliability of data pipelines across ingestion, transformation, and delivery layers, ensuring data is accurate, complete, and delivered on schedule.
• Establish and maintain data reliability standards, including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for both upstream ingestion and downstream data delivery.
• Design, implement, and maintain comprehensive monitoring, logging, and observability frameworks for data pipelines, datasets, and data services with clear visibility into freshness, volume, schema changes, and data quality.
• Design and implement data quality testing and validation frameworks — establishing test cases, golden datasets, and regression tests to detect quality issues early.
• Lead incident response for data reliability issues, including detection, triage, communication, root cause analysis, and post-incident remediation with documented corrective actions.
• Drive improvements in pipeline resiliency through retry strategies, backfills, idempotency, schema enforcement, and safe deployment practices.

Data Reliability Engineer

• Handle support tickets and operational issues reported by internal teams and external partners; investigate root causes and coordinate resolution with senior engineers
• Perform KTLO (Keep The Lights On) tasks including monitoring pipeline health, responding to alerts, validating data quality, and investigating data anomalies
• Conduct data source discovery and profiling work — examining raw data sources, documenting data structure, identifying quality issues, and recommending integration approaches
• Assist with data validation and testing — writing SQL queries to validate data transformations, identifying gaps and inconsistencies, and flagging issues for review
• Support data quality initiatives by running diagnostics, documenting data quality findings, and escalating issues with clear context for senior engineers
• Assist in establishing and monitoring data quality metrics — working with senior engineers to define quality KPIs and track pipeline health
• Help maintain and improve documentation for existing data systems, pipelines, and data sources — documenting schemas, transformation logic, and known issues
• Assist senior engineers with debugging data pipeline issues — tracing data through transformations, validating intermediate outputs, and comparing expected vs. actual results
• Conduct quality assurance activities — reviewing data outputs, testing transformations, and validating correctness before data reaches downstream consumers
• Perform exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and quality
• Learn and apply data engineering best practices including version control (Git), code review processes, and testing frameworks under guidance from senior engineers
• Support infrastructure and operational tasks as assigned — assisting with deployments, maintaining environments, and supporting on-call activities
• Participate in knowledge-sharing and mentorship; ask questions, document learnings, and contribute to team documentation and runbooks

AI Engineer

• Design, build, and maintain agentic systems and LLM-powered applications that automate healthcare workflows, data pipelines, and clinical decision support — from conception through production deployment
• Build and orchestrate agents using LLM APIs (OpenAI, Anthropic, etc.) and agentic frameworks (LangChain, LangGraph, CrewAI, or custom orchestration) to solve complex, multi-step healthcare problems
• Develop prompt libraries, agent instructions, and reusable "skills" that improve agent accuracy, consistency, and reliability across different use cases and data domains
• Build validation and confidence-scoring layers that flag low-confidence agent decisions for human review before production deployment; establish guardrails and review workflows for agent-authored code and outputs
• Own end-to-end delivery of AI-automated systems — from problem scoping and requirements gathering through agent development, testing, and validated production deployment
• Implement rigorous evaluation and QA frameworks for agentic systems — including golden datasets, test cases, output validation, hallucination detection, and regression testing
• Establish and maintain evaluation metrics for agent performance, reliability, and clinical appropriateness; measure agent accuracy, hallucination rates, clinical validity, and real-world impact
• Implement observability, evaluation, and regression testing frameworks specific to agentic systems — decision tracing, lineage logging, and performance tracking
• Collaborate with data engineering and platform teams to integrate agent-built outputs (dbt models, transformation logic, recommendations) into existing data architectures and clinical workflows
• Ensure all agentic systems comply with healthcare regulations (HIPAA, FDA guidance on AI/ML) and responsible AI practices — including explainability, auditability, and clinician trust
• Continuously evaluate new LLM models, agent frameworks, prompt engineering techniques, and tooling; recommend adoption or migration based on healthcare-specific requirements (accuracy, cost, latency, regulatory alignment)
• Partner with data engineering to establish robust data validation and input validation layers for agents — agents are only as good as the data they operate on
• Lead experimentation and measurement of AI-automated systems impact on speed, quality, compliance, and cost across healthcare workflows
• Document agent architectures, prompt strategies, evaluation frameworks, and best practices for both technical and non-technical stakeholders
• Mentor AI Connector Engineers and other team members on agentic development patterns, LLM-powered application design, and responsible AI practices
• Work on-call as needed to support production agentic systems, troubleshoot agent issues, and respond to performance degradation or hallucination detection

• Own infrastructure-as-code with Terraform
• Support AI/ML platform enablement with AgentCore infrastructure, governance controls, and access patterns
• Design, provision, and operate AWS infrastructure
• Configure and harden core AWS networking and security constructs
• Implement and operate containerized services with Docker and AWS ECS/Fargate
• Deploy and maintain Kubernetes infrastructure
• Build and maintain serverless services with AWS Lambda and API Gateway
• Manage and operate Databricks infrastructure on AWS
• Design and implement isolated development sandbox environments
• Build, maintain, and optimize CI/CD pipelines in GitHub Actions
• Implement comprehensive monitoring, logging, and alerting in CloudWatch
• Document architecture, runbooks, and standard operating procedures

• Responsible for the design, implementation, and operational execution of secure development, cloud, and endpoint security practices
• Embeds information security controls directly into engineering and IT workflows
• Focus on vulnerability management, security baselines, threat modeling, and secure architecture
• Leverages AI capabilities, including AWS AI services and Claude to standardize, streamline, and scale security operations
• Design and implement secure architecture patterns across applications, CI/CD pipelines, and cloud platforms
• Conduct threat modeling and security design reviews for new systems and major changes
• Lead vulnerability management across GitHub, AWS Inspector, Microsoft Defender, and CrowdStrike Falcon
• Ensure vulnerabilities are triaged, tracked, and remediated within defined SLAs
• Design and enforce AWS security baselines including VPCs, security groups, and perimeter controls
• Identify and remediate unintended network exposure
• Apply AWS AI services and Claude to standardize vulnerability analysis, remediation workflows, and reporting
• Ensure AI usage is auditable, explainable, and secure
• Develop and maintain security baselines aligned to NIST CSF, SOC 2, and HIPAA where applicable
• Produce audit-ready documentation and metrics
• Partner with Engineering and IT teams to integrate security into delivery processes
• Communicate security risks and remediation status to Information Security leadership

DevSecOps Engineer

Medical Officer

• Train, coach, and mentor Market Medical Directors to expand their influence and engagement with primary care practices.
• Exercise supervisory responsibility and ultimate accountability for pod performance, ensuring clinical and financial success.
• Meet regularly with Market Medical Directors to troubleshoot practice challenges, provide strategic guidance, and offer ongoing support.
• Provide guidance and keep Market Medical Directors abreast of Regulatory and Compliance issues as they pertain to CMS regulations and ACO contractual obligations.
• Regularly review key performance indicators and clinical utilization metrics delivered by Market Medical Directors, highlighting areas that require focus or additional motivation.
• Ensure productivity targets are met related to practice meetings, pod meetings, and internal assignments.
• Identify opportunities to improve practice workflows, healthcare utilization, and clinical documentation accuracy.
• Drive continuous performance improvements by analyzing data trends and implementing strategic interventions at a regional level.
• Work with Market Medical Directors to ensure ACO practice compliance with Vytal Signs gates including but not limited to EMR access, EMR integration, use of Vytalize VBC tools, and participation in clinical programs.
• Work collaboratively across departments, including Regional Vice Presidents, Practice Transformation Managers, Risk & Quality Teams, and Product & Tech Teams, to align on value-based care strategies and clinical initiatives.
• Assess areas of greatest opportunity within ACO practices, identifying potential changes, enhancements, or new programs to optimize healthcare delivery.
• Promote value-based clinical strategy by supporting Vytalize Health's initiatives and lending clinical perspective to strategic discussions, including selection and prioritization of organization-wide initiatives.
• Provide clinical oversight for ongoing initiatives, shaping new strategies that align with evolving healthcare models and provider needs.
• Spread best practices across pods, sponsoring provider collaboration and knowledge-sharing sessions, particularly through pod meetings.
• Develop, refine, and propagate key initiatives, enabling Market Medical Directors to focus on direct physician engagement.
• Periodically present clinically (virtually or in person) to practices, reinforcing VBC principles and supporting PCP engagement.
• Collaborate across Vytalize’s Central and Market Medical Directors to share achievements, refine strategies, and seek advice and feedback.
• Engage in ACO leadership meetings, contributing insights to refine national and regional healthcare initiatives.
• Attend and participate in Vytalize Physician Advisory Council meetings.

Regional Medical Officer

Manager

• The RN Case Manager works with the clinical department and acts as a liaison with our physician practices.
• The RN Case Manager advocates for personalized treatment options that address a patient’s unique care needs.
• The RN Case Manager has a patient-forward approach that is centered in the value-based care model, offers education and guidance for navigating complex medical decisions, and creates and manages the plan of care for patients with chronic or serious conditions.
• You will be responsible for using your assessment and communication skills to engage with patients in need of clinical support to determine and prioritize their needs.
• You will deliver patient-centered care, provide exceptional customer service, and work within your scope of practice to provide evidence-based education, assessment, and care navigation.
• Identify patient/caregiver education needs through telephonic assessment/engagement and ensure that the patient/caregiver has adequate information to participate in the successful transition back to their home setting from an inpatient or post-acute facility stay.
• Conduct timely telephonic clinical outreach to identified patients.
• Collaborate with PCPs, NPs, and other members of the healthcare team to coordinate care for patients and actively help keep them stable at home.
• Serve as the point of contact and informational resource for patients, care teams, family/caregivers, payers, and community resources.
• Implement interventions that improve health outcomes, lower costs, and enhance the patient experience.
• Work collaboratively with provider offices, SNFs, hospitals, and other Clinical Services teams to support each patient’s needs efficiently and effectively.
• Assist in coordination across the continuum of care while maintaining confidentiality.
• Guide patients through the healthcare system and help them overcome barriers.
• Coordinate treatment and services for patients.
• Schedule medical appointments as needed.
• Communicate about a patient’s health condition with the patient and their family.
• Provide community resources to patients as needed and support resolution of SDoH.
• Maintain a comprehensive working knowledge of community resources.
• Assume accountability for the quality of care.
• Continually seek new knowledge and learning that supports clinical care coordination.
• Depending on market location, minimal travel may be required to visit provider offices to help enhance provider office engagement (less than 5%).

RN Case Manager

• Deliver targeted, intervention-based education with prioritization driven by practice performance data
• Facilitate one-on-one provider education sessions, including DSP documentation coaching, ICD-10-CM specificity guidance, and clinical scenario-based learning
• Participate in Pod meetings, RMO sessions, and practice-facing touchpoints to deliver vignette-style CDI education and reinforce documentation best practices
• Design and maintain practice-specific education plans based on coding data, RAF trend analysis, and recapture opportunity outputs
• Support provider understanding of point-of-care tools, suspect delivery outputs, and documentation expectations tied to CDI (Clinical Documentation Integrity) program goals
• Respond to education needs and engagement escalations for practices with persistent documentation gaps
• Monitor performance against practice-specific education plans, and propose and act upon improvement plans
• Lead provider-facing webinars and educational sessions
• Build and maintain the CDI clinical content library, including condition-specific advisories, documentation tip sheets, and slide-ready education modules, for use by RMO and CDI staff
• Develop specialty-specific and prevalence-adjusted educational materials that align with CMS documentation standards and reflect real clinical scenarios
• Collaborate with the VP, CDI & Coding Operations and QA Lead to ensure all clinical content reflects current coding guidelines and risk adjustment requirements
• Conduct concurrent documentation reviews, evaluating clinical support for active diagnoses and identifying documentation gaps prior to or following encounters
• Review coding outputs against clinical documentation to assess accuracy, specificity, and completeness; flag discrepancies for QA escalation or provider follow-up
• Apply MEAT criteria in documentation review; identify conditions requiring addendum, query, or provider education
• Contribute to the development of concurrent review workflows and eligibility criteria in coordination with the CDI Operations Lead and VP
• Partner with RMOs, market medical directors, and practice-facing staff to align education delivery with population health and performance priorities
• Track and report on education delivery, concurrent review activity, and provider engagement outcomes against established benchmarks
• Escalate compliance concerns, coding accuracy issues, and documentation risks to the VP, CDI & Coding Operations in a timely manner.

CDI Enablement Manager

IT Support

• Serve as a member of the IT Support team handling user-submitted tickets across hardware, software, and access issues
• Manage and fulfill IAM requests related to both internal systems (e.g., business applications, cloud tools) and external EMR platforms used by medical practices
• Coordinate with external IT departments at medical practices to obtain installers, confirm connection requirements, and troubleshoot access issues
• Perform necessary software installations to support EMR access, including but not limited to VPN clients, Remote Desktop clients, and practice-specific tools or custom installers provided by external IT teams
• Collaborate with clinical and administrative stakeholders to ensure proper and timely provisioning of EMR access
• Assist with onboarding and offboarding tasks related to system access and device readiness across all platforms
• Document processes, troubleshooting steps, and recurring issues for continuous improvement and knowledge sharing
• Escalate complex issues to appropriate team members when necessary and follow up to ensure resolution

Junior IT Support Specialist

Data Analyst

• Manage technology-driven initiatives to optimize clinical and EHR workflows, ensuring documentation and coding meet program-specific reporting requirements for assigned partners, by developing technology solutions to meet unique reporting requirements and ensure optimal quality performance
• Deliver and interpret technical specifications for quality programs, ensuring optimal performance through advanced data analysis
• Partner with internal teams to successfully deploy and manage quality improvement programs, working with external vendors to ensure accurate end-of-year quality reporting and optimal ACO scoring
• Design and maintain data collection workflows from multiple EHR systems, ensuring data quality and integrity for quality measure improvement
• Utilize SQL and data analytics tools to analyze large healthcare datasets for quality reporting and performance insights
• Collaborate with EHR vendors and technical teams to optimize data extraction processes, working with C-CDA, QRDA, flat files, and other healthcare data formats
• Monitor practice quality performance by developing data-driven actionable strategies for continuous improvement and optimal measure benchmark achievement

Platform Engineer – Data Services

Senior Manager, Clinical Applications – Data Integration

VP, IT Operations

Full Stack Engineer, Data Services

Data Reliability Engineer

Data Engineer

AI Engineer

DevOps Engineer

DevSecOps Engineer

Regional Medical Officer

RN Case Manager

CDI Enablement Manager

Junior IT Support Specialist

RN Case Manager

Senior Manager – Quality Reporting and Data Analytics