AI Project Manager

Description
Designs, develops, tests, deploys, and maintains code supporting Damar's AI product stack, including data pipelines, model integrations, APIs, application logic, and other supporting systems
Monitors and improves the reliability, performance, scalability, and maintainability of AI-enabled applications and supporting infrastructure
Identifies, troubleshoots, and resolves bugs, system issues, and technical debt, including improving or refactoring code and systems inherited from previous development work
Independently prototypes, develops, tests, and ships new AI product features and enhancements based on organizational and user needs
Evaluates technical approaches and makes practical engineering decisions that balance product needs, maintainability, scalability, security, and speed of delivery
Serves as an internal technical resource and point of contact for AI products, systems, integrations, and related development work
Partners with external technology vendors and translates technical discussions, requirements, limitations, and recommendations into clear information for non-technical leaders and staff
Collaborates with internal stakeholders to translate business needs and workflow challenges into technical requirements and product solutions
Creates and maintains clear technical documentation for code, architecture, integrations, configurations, processes, and key technical decisions to ensure institutional knowledge remains within the organization
Contributes to the technical roadmap for AI products by identifying priorities, technical dependencies, system improvements, risks, and future development opportunities
Requirements

• Education: Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field preferred; equivalent practical experience, including relevant professional experience, technical training, bootcamp education, or demonstrated technical expertise, may be considered in lieu of a degree
• Experience: Minimum of 3 years of relevant professional experience in software engineering, application development, AI/ML engineering, or a related technical field
• Equipment Familiarity: Computer and standard office technology; Claude Code; GitHub; Google Workspace; Google Cloud Platform (Google Cloud Platform); and other software development, AI, cloud computing, and collaboration tools as required
• Minimum age of 21 per licensure requirements
• Ability to pass and maintain CPR certification
• Must meet and maintain background screening requirements for all Damar Programs as detailed in policy 1.HR.02 Pre-Employment and Employee Background Checks
• Valid Indiana driver's license and driving record that meets eligibility requirements of Damar's insurance carrier (for all positions requiring driving)

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