AI Engineer

• Design, build, and deploy scalable AI/ML solutions on Google Cloud Platform
• Develop and optimize GenAI and machine learning applications
• Work closely with data engineering, business, and healthcare teams
• Implement cloud-native AI architectures and MLOps practices
• Ensure performance, scalability, security, and compliance standards
• Support production deployments and ongoing enhancements

We are looking for experienced AI Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to join our team for a large-scale healthcare initiative. Candidates with provider-side healthcare experience will be highly preferred., * Strong experience in AI/ML engineering and model deployment

• Hands-on expertise with Google Cloud Platform services such as Vertex AI, BigQuery, Cloud Functions, GKE, and Cloud Storage
• Experience building and deploying Generative AI / LLM-based solutions
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Experience with REST APIs, microservices, and cloud-native architectures
• Knowledge of data pipelines and ETL processes
• Familiarity with prompt engineering, RAG, vector databases, and AI orchestration frameworks is a plus
• Experience working in healthcare/provider environments preferred
• Strong communication and collaboration skills, * Healthcare provider domain experience
• Experience with HIPAA-compliant solutions
• Google Cloud Platform certifications are a plus
• Prior experience with enterprise AI transformation initiatives