AI Engineer

**Job Summary** The AI Engineer is responsible for building, testing, and deploying AI\-powered solutions that address real\-world healthcare challenges within our program. The AI Engineer will leverage enterprise AI models to create intelligent applications such as participant context engines, retrieval\-augmented generation (RAG) pipelines, and agentic workflows. Staying current with the rapidly evolving AI landscape, the AI Engineer will translate emerging capabilities into production\-ready solutions for our business. Collaboration with colleagues and stakeholders is essential to promote our values, team culture, and mission. Job Responsibilities * Design, build, and deploy AI\-powered applications using enterprise LLMs. * Translate business requirements into production\-ready AI solutions. * Architect and implement RAG systems that ensure accuracy, relevance, and compliance with healthcare data standards. * Own the full development lifecycle for new AI use cases from ideation through production deployment. * Research and build agentic AI workflows using relevant frameworks. * Architect and deploy AI services within private cloud environments, utilizing secure configurations. * Evaluate and integrate across the frontier model landscape, selecting the right model for each use case. * Implement AIOps and MLOps best practices to ensure AI applications are reliable, scalable, and maintainable. * Continuously evaluate emerging AI tools, techniques, and model releases. * Proactively recommend new approaches to improve participant outcomes, operational efficiency, or developer productivity. * Complete all required documentation in a timely and accurate manner. * Protect privacy and maintain confidentiality of all company procedures and information. * Follow company policies and participate in required quality improvement activities, staff training, and meetings. * Communicate regularly with the supervisor and team regarding workload and priorities. * Complete all mandated trainings and education timely. * Exercise flexibility in performing assignments as business needs evolve. * Other duties as assigned. **Required Skills \& Experience** * Minimum of three years of hands\-on experience in AI/ML engineering or software engineering with a strong AI focus. * Experience working with people from diverse backgrounds and cultures. * Demonstrated experience designing and deploying retrieval augmented generation pipelines. * Proven ability to build applications on top of commercial LLM APIs. * Advanced proficiency in Python for AI application development. * Hands\-on experience with Azure AI services and Docker\-based deployments. * Proficiency with DevOps for building CI/CD pipelines. * Solid understanding of agentic architectures and frameworks. * Experience working in Agile/Scrum environments. * Excellent organizational and communication skills. * Ability to work independently with minimal supervision. * Demonstrated ability to prioritize in a fast\-paced environment. * Commitment to unlocking the full potential of our most vulnerable seniors. **Preferred Skills \& Experience** * Familiarity with HIPAA, PHI handling, and healthcare technology compliance requirements. * Understanding of the PACE model of care and its technological implications. * Experience benchmarking and comparing LLM providers. * Secondary cloud experience with AWS AI/ML services. Education **Required Education:** Bachelor's Degree in Computer Science, AI, or Computer Engineering. **Preferred Education:** Master's Degree in the above fields. Schedule Full\-time position, Monday through Friday, 8 am to 5 pm Pacific Standard Time. Must be based in the United States. **Start Date:** 06/15/2026 **Hours Per Week:** 40 **Hours Per Day:** 8 **Days Per Week:** 5