Healthesystems

AI Engineer

• Assist in developing, implementing, and deploying artificial intelligence models and systems under close supervision
• Build AI applications for natural language processing, generative AI solutions, and predictive analytics
• Design, develop, and implement AI models and algorithms
• Clean, preprocess, and analyze large datasets for AI model training
• Select appropriate machine learning algorithms
• Integrate AI models into existing systems or develop new systems for AI solution deployment
• Optimize AI models for accuracy, efficiency, and scalability
• Research current AI and machine learning developments and apply them to projects
• Collaborate with data scientists, software engineers, and other stakeholders
• Create documentation for AI models, processes, and systems
• Deploy AI models into production and monitor performance
• Address ethical considerations, potential bias, and fairness in AI models
• Work under the mentorship and supervision of the VP, Program Performance & Analytics and/or AVP, Product Analytics and Business Strategy, or delegate

Intern, Artificial Intelligence Engineer – Part Time

Business Analyst

• Collaborate with Product Owners, Scrum Masters, Agile Team members, business stakeholders, and technical teams
• Translate software requirements into clear, actionable user stories and delivery-team deliverables
• Gather, identify, define, analyze, clarify, and document business and technical requirements
• Create business requirements, functional specifications, process maps, workflows, and user stories
• Research requirements across the Software Development Life Cycle, including business, functional, non-functional, and transitional requirements
• Use modeling, journey mapping, story mapping, and limited code or API review when appropriate
• Follow BSA standards, processes, documentation guidelines, Agile principles, and SAFe practices
• Maintain and refine the product backlog in Jira, including user stories, shell stories, story splitting, modeling, story mapping, epics, and Definition of Ready standards
• Participate in backlog refinement sessions and Agile ceremonies
• Facilitate meetings and refinement sessions; manage differing viewpoints and promote alignment
• Provide short-term backfill support for Product Owner or Scrum Master roles when needed
• Support delivery teams during testing and implementation
• Coordinate user acceptance testing, develop test plans, validate system changes, assist with script writing, and support production issues
• Review technical designs for alignment with requirements
• Engage stakeholders and incorporate their needs, concerns, and feedback into requirements
• Participate in BSA Communities of Practice and maintain knowledge-sharing documentation
• Pursue continuous learning and contribute process, system, and service improvements
• Duties are performed primarily in a home office; travel to meetings and locations throughout the country may be required

Intern, Artificial Intelligence Engineer – Part Time

Business Systems Analyst – Appian