Forward Deployed AI Engineer

Job Description

Key Responsibilities

• Design and implement AI-driven workflows to support and optimize the full course lifecycle from curriculum structuring to final delivery
• Build and maintain automation pipelines for curriculum outlining content structuring transcript processing quiz generation and multimedia workflows
• Develop AI-assisted tools and backend systems to streamline course creation learner support and operational processes
• Apply machine learning natural language processing and generative AI techniques to improve content quality workflow efficiency and scalability
• Build and optimize data pipelines to handle educational content including textual video and multimedia data
• Develop analytics and reporting solutions to monitor learner engagement workflow performance and product effectiveness
• Analyze data to identify inefficiencies bottlenecks and opportunities for optimization across course lifecycle workflows
• Create dashboards and reporting systems to provide visibility into learner behavior content performance and operational metrics
• Support and expand scalable AI-enabled workflows for multimedia content including video slides and interactive formats
• Design develop and maintain full-stack web applications (front-end UI backend services) that operationalize AI workflows for course development and delivery teams
• Build and document APIs and integrations (e.g. content systems LMS tooling analytics platforms) including authentication/authorization observability and error handling
• Own the build release and deployment lifecycle for web services and applications including CI/CD environment configuration and performance/security best practices
• Collaborate with subject matter experts (SMEs) program teams and stakeholders to translate requirements into practical technical solutions
• Proactively identify and lead improvements across CPE workflows taking ownership of automation initiatives and system enhancements
• Support coordination of development efforts including task tracking timeline management and ensuring alignment across cross-functional teams
• Document systems workflows and implementation logic to support scalability maintainability and long-term adoption
• Coordinate delivery with teammates and align timelines and resources to suit business timelines.

Minimum Qualifications:

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field
• Experience with AI-assisted and agentic development tools (e.g. Claude Cursor) for rapid prototyping and iteration
• Strong understanding of Machine Learning Deep Learning and Generative AI concepts
• Experience working with Python APIs automation workflows and backend systems
• Experience with web development fundamentals and modern full-stack patterns (e.g. JavaScript/TypeScript a front-end framework such as React and REST/GraphQL API design)
• Experience building or working with data pipelines and handling structured and unstructured data
• Working knowledge of databases and data storage (SQL and/or NoSQL) and experience building data-backed applications
• Familiarity with AI applications in media workflows including content generation and processing
• Understanding of Business Intelligence concepts including reporting analytics and performance tracking
• Ability to support SME-driven course development using AI-assisted tools and workflows
• Strong collaboration and communication skills across technical and non-technical teams
• Ability to manage development tasks timelines and multiple concurrent priorities

Preferred Qualifications:

• Experience with learner analytics educational data or digital learning platforms
• Strong ability to design optimize and automate complex workflows using AI systems
• Familiarity with product analytics workflow optimization and performance measurement
• Experience supporting content media or course production workflows using AI-enabled systems

Department

Compensation Range

Benefits Guidebook

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including but not necessarily limited to race color religion creed sex national origin nationality citizenship status age ancestry marital or domestic partnership or civil union status familial status affectional or sexual orientation gender identity or expression atypical cellular or blood trait genetic information pregnancy or pregnancy-related medical conditions disability or any protected military or veteran status.

Stevens is building a diverse faculty staff and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973 as well as other federal seeks candidates who will contribute to a welcoming and inclusive environment for all students faculty and staff.