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:

• Bachelor’s or Master’s 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

AI & DLOps

Compensation Range

In compliance with the New Jersey Wage Transparency Act, the hourly base range for this position is $35 to $45 per hour. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications,