The AI Native Process Automation Intern will support the development, testing, and optimization of AI-powered automation workflows designed to improve operational efficiency across multiple business functions. The role involves working with modern AI tools, automation platforms, workflow systems, and process optimization initiatives. The candidate will collaborate with cross-functional teams to identify repetitive tasks, automate workflows, and support scalable business operations using AI-enabled technologies and automation platforms.
Key Responsibilities:
- Support the design, development, and optimization of AI-powered workflow automation systems
- Identify repetitive operational processes and recommend automation opportunities using AI technologies
- Build and improve automated workflows for scheduling, coordination, reporting, and business operations
- Work with AI tools such as ChatGPT, Claude, Gemini, OpenClaw, and similar automation platforms
- Assist in prompt engineering, workflow experimentation, and AI workflow optimization activities
- Collaborate with Operations, Product, HR, Clinical, and leadership teams to improve operational efficiency
- Conduct research on emerging AI technologies, automation tools, and workflow best practices
- Analyze workflow performance, identify bottlenecks, and recommend process improvements
- Support implementation and testing of AI-enabled business process solutions
- Create process maps, workflow documentation, SOPs, dashboards, and operational trackers
- Assist in workflow testing, debugging, deployment, and post-implementation support activities
- Support automation integration activities using APIs, automation tools, and workflow platforms
- Participate in change management and process improvement initiatives for automation systems
- Maintain documentation related to workflow systems, automation logic, and operational procedures
- Collaborate with stakeholders to gather requirements and ensure workflow solutions meet business needs
- Contribute to continuous improvement initiatives within a fast-paced healthcare technology environment
Required Skills:
- Strong understanding of workflow automation and process optimization concepts
- Knowledge of AI-powered workflow tools and automation platforms
- Experience using tools such as Claude Code, OpenClaw, ChatGPT, Gemini, or similar AI systems
- Strong analytical thinking and problem-solving abilities
- Ability to learn quickly and work effectively in ambiguous environments
- Good organizational, communication, and collaboration skills
- Ability to identify inefficiencies and create practical automation solutions
- Understanding of APIs, integrations, and automation workflows
- Strong attention to detail, accuracy, and operational efficiency
- Ability to manage multiple tasks and priorities effectively
- Strong written and verbal communication skills
- Ability to work independently as well as in cross-functional teams
- Interest in Artificial Intelligence, healthcare technology, and business operations
Preferred Skills:
- Experience with AI workflow automation and “vibe coding” platforms
- Exposure to workflow automation tools and low-code/no-code platforms
- Familiarity with business process mapping and workflow documentation
- Understanding of operational analytics and workflow performance metrics
- Knowledge of automation testing, workflow optimization, and troubleshooting
- Exposure to healthcare operations, healthcare technology, or digital health platforms
- Understanding of AI-driven business operations and intelligent automation systems
- Interest in emerging AI technologies and process automation innovations
- Ability to balance independent execution with collaborative problem-solving approaches
Additional Information:
- Candidates should demonstrate initiative, ownership, and a proactive learning attitude
- Strong logical reasoning and workflow problem-solving abilities will be highly preferred
- Ability to quickly adapt to new AI tools and automation technologies is important
- Candidates should be comfortable working in technology-driven and collaborative environments
- Strong focus on operational efficiency, workflow reliability, and process improvement will be expected
Education:
Currently pursuing or enrolled in a Bachelor’s or Master’s Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Business Analytics, Healthcare Technology, or a related discipline from a recognized university or institution.
