Top Tech Jobs & Startup Jobs

Lead cross-portfolio product strategy and execution for Payment Integrity platform capabilities. Define multi-year roadmaps, prioritize initiatives, coordinate delivery across engineering and product teams, influence executive stakeholders, and mentor product leaders to deliver scalable, reusable platform solutions that improve payment accuracy, fraud detection, and operational efficiency.

Design and build production-grade GenAI solutions: RAG pipelines, agentic multi-agent workflows, knowledge-base chatbots, vector DBs, LLM integrations, observability, PII redaction, and deploy AI backends with monitoring and documentation.

The Director of Payment Model Technical Assistance will oversee technical assistance efforts, manage client relationships, and lead business development activities while ensuring high-quality materials for value-based payment approaches.

The Operational Database Administrator manages enterprise databases, ensuring performance, security, and compliance, while supporting 24×7 operations and collaborating with multiple teams for maintenance and upgrades.

Lead a global engineering team in modernizing healthcare technology through AI-enabled cloud-native architectures, ensuring compliance and operational excellence.

The Account Executive will develop sales strategies, build relationships with referral sources, and educate the medical community about home health services.

The Principal Data Scientist will lead AI system development in healthcare, overseeing LLM implementation, model lifecycle, and compliance with regulations, while ensuring operational excellence and technical influence across teams.

The Account Executive will drive sales strategy, build relationships with referral sources, and educate the community on hospice services to increase market share.

The Lead AI/ML Engineer will design and implement ML models, integrate AI solutions, and collaborate with technical teams to enhance AI capabilities, focusing on healthcare applications.

Lead end-to-end architecture and delivery of AI and Generative AI solutions. Design LLM-based reference architectures (RAG, prompt orchestration, agents), select platforms (Azure OpenAI, vector DBs), integrate with microservices, data platforms, and APIs, ensure security, compliance, observability, and Responsible AI practices, provide hands-on architectural guidance, and drive enterprise adoption and modernization.