Forward Deployed AI Engineer

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
• Develop and optimize data pipelines to handle educational content, including textual, video, and multimedia data
• Create 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
• 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
• Familiarity with 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
• Working knowledge 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