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

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