AI Engineer (AI Accelerator Program)

Responsibilities

• Build and maintain data integration (with SQL databases or APIs) and data processing and transformation pipelines to support the development and implementation of AI/ML tools
• Identify and build systems for implementation, monitoring, and maintenance of AI/ML tools using modern MLOps practices including CI/CD, model versioning, and cloud-native deployment
• Collaborate with data scientists and researchers to design and implement highly complex metrics and processes to automatically monitor AI/ML tools for safety, potential bias or drift, performance, and validity
• Design and develop APIs, services, or lightweight web applications to enable integration of AI/ML and generative AI capabilities into clinical and operational workflows
• Develop and deploy generative AI solutions (e.g., LLM-based systems), including prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks for unstructured data
• Design and implement highly complex real-time or near real-time data processing and inference systems to support AI/ML and generative AI applications
• Develop scalable, event-driven architectures and ensure reliable, low-latency integration of AI capabilities into production clinical and operational workflows

Qualifications

• Bachelor's degree in related area and / or equivalent experience / training
• 5 years of experience in positions of increasing responsibility designing, implementing, and maintaining complex AI/ML applications
• Experience with data analysis and machine learning tools such as Jupyter, Pandas, scikit-learn, Numpy/Scipy, PyTorch, etc.
• Demonstrated advanced knowledge of full software development lifecycle
• Advanced experience with Python; ability to write clean, efficient, and production-level Python code
• Advanced experience with SQL (e.g., SQLServer, PostgreSQL)
• Demonstrated experience deploying, monitoring, and maintaining AI/ML models and pipelines
• Experience designing and developing APIs or microservices to support AI/ML applications
• Familiarity with web application development frameworks (e.g., React, JavaScript/TypeScript) or integrating backend systems with user-facing applications
• Experience with large language models (LLMs), including prompt engineering, evaluation, and production deployment
• Experience with real-time or streaming data processing systems and low-latency inference architectures
• Demonstrated effective communication and interpersonal skills
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization
• Self-motivated and works independently and as part of a team
• Able to learn effectively and meet deadlines
• Demonstrated broad problem-solving skills
• Demonstrated ability to interface with management on a regular basis
• Excellent project leadership and management skills