Senior Principal, AI Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Principal, AI Engineer in United States.

This role sits at the intersection of advanced AI innovation and mission-driven healthcare technology, where you will design and deploy intelligent systems that directly improve healthcare outcomes and operational efficiency. You will lead the development of generative AI, machine learning, and NLP solutions applied to complex, real-world healthcare data environments. Operating in a highly collaborative, cross-functional setting, you will partner with engineering, product, and business teams to bring AI capabilities from concept to production at scale. The position requires both deep technical expertise and strong leadership in guiding end-to-end AI delivery. You will work on cloud and hybrid infrastructures while ensuring compliance with strict healthcare regulations. This is an opportunity to shape impactful AI systems in a highly regulated, high-stakes domain where your work meaningfully supports vulnerable populations.

• Lead end-to-end AI solution delivery by coordinating cross-functional teams across engineering, analytics, product, and business stakeholders to ensure successful execution of AI initiatives.
• Design, build, and train advanced AI models including generative AI, NLP systems, deep learning architectures, and predictive analytics tailored to healthcare use cases.
• Develop, deploy, and maintain scalable AI solutions across cloud and on-premises environments while ensuring reliability, performance, and real-world applicability.
• Work with large-scale healthcare datasets to perform data preprocessing, feature engineering, model training, and validation in compliance with regulatory standards.
• Integrate AI models into existing enterprise systems in collaboration with software engineering teams, ensuring seamless functionality and adoption.
• Continuously monitor and optimize model performance using MLOps practices to improve accuracy, efficiency, and scalability.
• Drive AI innovation by researching emerging technologies, evaluating new frameworks, and translating advancements into production-ready solutions.
• Ensure compliance with healthcare regulations, data privacy requirements, and ethical AI standards across all AI implementations.
• Identify opportunities to automate workflows and improve business processes through AI-driven solutions.

• Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 5+ years of hands-on experience in AI/ML engineering, including generative AI, NLP, deep learning, and predictive modeling.
• Strong experience developing and deploying large language models (GPT, Gemini, Claude or similar), including prompt engineering and optimization techniques.
• Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
• Experience with cloud platforms such as AWS, Azure, or GCP, as well as MLOps pipelines and practices.
• Familiarity with big data technologies including Spark, Hadoop, SQL, and NoSQL systems.
• Strong understanding of AI system deployment, model lifecycle management, and production scaling.
• Experience working with healthcare data (claims, medical records) and knowledge of regulatory frameworks such as HIPAA is highly desirable.
• Excellent problem-solving and communication skills with the ability to translate complex business needs into AI-driven solutions.
• Ability to work independently while collaborating effectively across distributed, cross-functional teams.

• Fully remote work within the United States with flexible work arrangements.
• Competitive compensation package with opportunities for salary growth and performance-based rewards.
• Comprehensive health coverage including medical, dental, and vision plans.
• Retirement savings plan with employer contribution support.
• Generous paid time off and flexible vacation policy.
• Access to leadership development programs, technical academies, and continuous learning opportunities.
• Educational assistance and certification support to advance your technical career.
• Opportunity to work on cutting-edge AI solutions with meaningful healthcare impact.
• Collaborative, inclusive, and innovation-driven work culture.