Support the Product team to discover, design, build, and deploy custom AI assistant solutions for healthcare clients. Conduct product discovery, develop and evaluate assistants, run user training and testing, analyze data for business cases, prepare governance metrics, and coordinate cross-functional rollout and account support.

The Product Lead strategizes AI solutions in healthcare, leads discovery sessions with clients, manages a team, and engages with stakeholders to transform business processes.

Support full-cycle recruiting for technical and non-technical roles: source candidates, conduct screens, coordinate interviews, maintain Greenhouse pipelines, partner with hiring managers, assist onsite interview logistics, track metrics, and support onboarding.

The Applied AI Engineer will build and scale AI workflows in healthcare, focusing on developing agentic workflows, REST APIs, and integrating advanced LLMs for production applications.

Qualified Health seeks talented individuals interested in healthcare and AI. Applications are welcome for various functions like engineering and data, with ongoing reviews for future opportunities.

As a Technical Lead / Platform Engineer, you'll shape the architecture and lead the development of a Generative AI healthcare platform, mentor junior engineers, and ensure successful project deliveries.

As a Senior Platform Engineer, you will develop and maintain core platform services, collaborate on technical documentation, and ensure seamless integration in healthcare AI solutions.

The Product Designer will create user-centered designs for healthcare products, collaborating with teams and stakeholders, and leading projects from concept to production.

As a Technical Recruiter, you will source and manage candidates for technical roles in AI, data science, engineering, and product, enhancing the candidate experience and recruitment process.

The Senior DevOps Engineer will manage Azure cloud infrastructure for AI solutions, ensuring compliance, security, and data analytics in healthcare environments.

Develop and maintain core platform services for a generative AI healthcare SaaS application, ensuring seamless integration and operational excellence.

The Software Engineer will develop and implement the user experience for an AI SaaS platform, focusing on clean code, scalability, and user-centric design while collaborating in an Agile environment.

Manage and improve employee lifecycle programs (onboarding, offboarding, mobility), maintain People systems and playbooks, partner with cross-functional teams, manage vendors and HR tech (HRIS/ATS), track program metrics, and serve as a reliable employee contact to ensure consistent, scalable People operations.

The Associate Product Lead engages with healthcare clients to design and deploy AI assistant solutions, managing the product lifecycle from discovery to evaluation.

The Business Analyst will develop and implement custom AI solutions for healthcare clients, driving innovative change and enhancing patient care.

The Engagement Manager manages client relationships and project execution, ensuring successful implementation and delivery of AI solutions in healthcare.

The Director will manage client engagements, oversee project execution, ensure client satisfaction, and facilitate data integration processes in AI healthcare solutions.

As Director of Partner Integration, you lead a team of Data Engineers to develop data pipelines, manage client relationships, and ensure high-quality data for AI-driven healthcare solutions.