Gainwell Technologies
Gainwell Technologies
Gainwell Technologies develops digital and cloud-enabled solutions for the human services and public health ecosystem. The company works with clients across all 50 U.S. states on healthcare initiatives including Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions. Its work connects technology with public health delivery, healthcare administration, and efforts to improve health outcomes and community well-being.

Principal AI Engineer at Gainwell Technologies — Remote U.S.

Lead the design and deployment of GenAI, NLP, and predictive analytics solutions for healthcare applications. Build scalable, compliant AI systems that improve Gainwell Technologies’ technology platforms.

Description

  • Design and train machine learning and deep learning models for healthcare, including GenAI, NLP, and predictive analytics solutions
  • Develop, test, and deploy AI systems across cloud and on-premise environments
  • Prepare and model large healthcare datasets through preprocessing, feature engineering, and training while maintaining HIPAA and regulatory compliance
  • Integrate and optimize AI models within Gainwell Technologies’ existing technology stack
  • Partner with software engineers to support reliable system integration
  • Monitor and improve model accuracy, efficiency, and speed using MLOps practices
  • Track advances in AI and machine learning and assess emerging technologies and methods
  • Maintain compliance with healthcare regulations, ethical AI principles, and data privacy standards
  • Find opportunities to automate workflows and improve business processes with AI-driven solutions

Requirements

  • Master’s or Ph.D. in Computer Science, AI, Data Science, or a related discipline
  • At least five years of AI/ML engineering experience, including practical work with GenAI, NLP, deep learning, and computer vision
  • Strong Python development skills and experience with TensorFlow and PyTorch
  • Experience working with LLMs such as GPT, Gemini, or Claude, including prompt engineering and optimization
  • Working knowledge of AWS, Azure, or GCP; MLOps practices; and big data technologies including Spark, Hadoop, SQL, and NoSQL
  • Experience building, deploying, and fine-tuning LLMs for practical applications, including prompt engineering, model optimization, and efficient inference
  • Strong programming experience with Python, TensorFlow, PyTorch, and other AI frameworks
  • Strong analytical and problem-solving ability, with experience converting business challenges into AI solutions
  • Healthcare AI experience and knowledge of standards such as HIPAA and CMS are advantageous
  • Video cameras are required for all interviews and throughout the initial orientation week

Benefits

  • Fully remote position available to candidates working anywhere in the U.S.
  • Limited travel, with occasional travel expected at 0–10%
  • Work on advanced AI solutions in a mission-driven healthcare technology environment

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