We are seeking a motivated and detail-oriented AI Workflow Architect Intern to join our dynamic team. In this role, you will assist in designing, optimizing, and implementing AI-driven workflows that address complex business challenges across the pharmaceutical and healthcare industries. This is a unique opportunity to gain hands-on experience in applying artificial intelligence to real-world problems while collaborating with experts in technology and healthcare solutions.
Key Responsibilities
- Workflow Design & Optimization: Assist in developing automated workflows using AI technologies to improve operational efficiency and productivity.
- Data Analysis: Collaborate with data scientists and engineers to analyze datasets for workflow insights and identify opportunities for AI integration.
- Tool Development: Support the creation and testing of AI tools and frameworks that enable seamless workflow orchestration.
- Documentation: Draft clear, detailed documentation for workflow architectures, including diagrams, process flows, and technical specifications.
- Stakeholder Collaboration: Work with cross-functional teams to understand business requirements and translate them into scalable AI-driven solutions.
- Performance Monitoring: Help evaluate, monitor, and refine workflows to ensure optimal performance and alignment with organizational goals.
Learning Opportunities
- Hands-on experience with state-of-the-art AI technologies such as machine learning, natural language processing, and robotic process automation.
- Exposure to real-world applications of AI in healthcare and pharmaceutical operations.
- Collaboration with industry leaders and subject matter experts in technology and healthcare.
- Development of problem-solving and critical thinking skills in a fast-paced environment.
Qualifications
- Current enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- Must not require sponsorship to work in the US, now or in the future
- Proficiency in programming languages such as Python or Java.
- Basic understanding of AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).
- Familiarity with workflow management tools and process modeling.
- Strong problem-solving skills with the ability to analyze complex systems and datasets.
- Excellent written and verbal communication, with the ability to convey technical concepts to non-technical audiences.
- Ability to collaborate effectively within a multidisciplinary team environment.
Bonus Skills:
- Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud), APIs, and process automation tools is a plus.
