Technology Lead - AI & ML Expertise
About the job
- A minimum of 6+ years of relevant experience with a strong background in artificial intelligence and machine learning technologies.
- Strong technical, diagnostic, and troubleshooting skills.
- Experience leading artificial intelligence and machine learning projects, determining requirements, developing work schedules, and managing risks.
- Strong leadership and organizational abilities.
- Ability to convey complex artificial intelligence and machine learning concepts to non-technical stakeholders, write progress reports, and deliver presentations.
- Ability to develop innovative artificial intelligence and machine learning-driven applications, keep up to date with industry trends, and apply cutting-edge technologies.
- Ability to foster transparency and continuous improvement in artificial intelligence and machine learning projects.
- Design, implement, and improve information technology systems by integrating artificial intelligence and machine learning capabilities to enhance functionality and user experience.
- Develop and maintain scalable code, including artificial intelligence and machine learning algorithms and back-end components, to improve overall system performance.
- Provide technical support and troubleshoot issues related to artificial intelligence and machine learning model deployment and maintenance.
- Test and debug programs, emphasizing artificial intelligence and machine learning model accuracy and reliability.
- Implement robust security and data protection solutions for sensitive healthcare data used in artificial intelligence and machine learning models.
- Assess and prioritize feature requests and identify opportunities to apply artificial intelligence and machine learning technologies.
- Coordinate with internal teams and stakeholders to understand requirements, map objectives, and provide artificial intelligence and machine learning-driven technical solutions.
- Set standards, expectations, and benchmarks for artificial intelligence and machine learning projects.
- Develop strategies and provide technical advice to incorporate artificial intelligence and machine learning solutions into the technology stack and business model.
- Experience with digital healthcare products and services.
About the company
Vivify Healthcare provides a cloud-based remote patient monitoring (RPM) and connected care platform for health systems and payers. The SaaS platform collects biometric data from connected devices, delivers personalized care plans, offers multi-channel patient education, and enables secure video visits to help care teams monitor patients with chronic conditions remotely. Unlike some competitors, Vivify focuses on continuous, patient-centered care management and has demonstrated outcomes like reduced readmissions in partner networks. Its goal is to help organizations lower hospital readmissions and improve chronic disease management, a path that followed its acquisition by Optum and ongoing support for existing clients through a transition.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
2016
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Simplify's Take
What believers are saying
- Existing clients still receive support during transition, preserving near-term service revenue.
- Secure data export remains available, easing customer migration and contract completion.
- FDA-cleared workflows and device integrations still strengthen procurement conversations through 2026.
What critics are saying
- Vivify stopped onboarding new customers; platform access ends August 31, 2026.
- Optum cut 58 New Jersey jobs in August 2026, signaling shrinking support.
- Decommissioning destroys Vivify’s standalone business and forces customers onto competing RPM vendors.
What makes Vivify Healthcare unique
- Vivify’s FDA-cleared Care Team Portal integrates devices, alerts, EHR workflows, and billing.
- Vivify supports mobile, web, IVR, and cellular-connected home kits for elderly patients.
- Vivify’s RPM stack ties patient education, secure messaging, and logistics into one workflow.
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