Sr. Learning Engineer
Listed on 2026-07-16
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Sr. Learning Engineer
Location:
Remote with occasional visit (Need someone from DMV Area only) Long Term Security Requirements:
Must be able to pass a background check and obtain a Public Trust or higher security clearance (depending on data access requirements).
Summary:
The Senior Learning Engineer will serve as both a thought leader and hands-on expert in continuously improving the design, learning environment, and user experience of our learning initiatives, working across functions and with teams including course development, innovation, academic leadership, and technology teams. In addition, this role will identify, maintain, and support complex custom and third-party technologies within the client’s learning ecosystem.
A significant focus will be on leveraging Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLM) to enhance the effectiveness and personalization of learning experiences.
Essential Duties and Responsibilities:
- Advise client leadership on emerging instructional technologies, including AI/ML/LLM applications, and andragogical approaches to support strategic initiatives related to readiness and workforce development.
- Create and implement standards to ensure the seamless and intuitive integration of native, custom, and third-party technologies into course designs, ensuring compliance with the client’s security protocols and Section 508 accessibility requirements.
- Identify, evaluate, and integrate innovative learning technologies and third-party tools, including AI-powered solutions, to meet instructional goals and enhance learner experiences within the client environment.
- Implement and support complex technologies, including AI-driven learning tools, within the client's learning ecosystem.
- Conduct investigation and rapid mitigation of technical or instructional issues within the client's Learning Management System (LMS) and/or associated course room technologies.
- Lead complex course projects using instructional design skills, technology expertise, and a deep understanding of the client’s training environment.
- Leverage instructional design skills to create use cases for tools and champion technological advancements in design, particularly related to AI-powered learning.
- Build and maintain courses and learning resources within the client's LMS environment according to established style guides, best practices, and security protocols.
Detailed
Duties and Responsibilities:
- Learning Systems Design & Development:
Apply engineering principles, learning science methodologies, and human-centered design practices to design, develop, and implement complex learning systems targeted at profession skills development, continuing education, and resource access (aligning with client’s focus). This includes online courses, simulations, virtual reality training, blended learning programs, and performance support tools. - Develop and maintain learning technology infrastructure, including Learning Management Systems (LMS), Learning Experience Platforms (LXP), digital libraries, and related resources.
- Integrate AI-powered features into learning systems, such as personalized learning paths, intelligent tutoring systems, and automated feedback mechanisms.
- AI/ML/LLM Implementation & Strategy:
Develop and implement AI/ML/LLM strategies for the client’s learning programs, aligned with the client's broader AI strategy. Identify opportunities to leverage AI/ML/LLM technologies to personalize learning experiences, automate administrative tasks, and improve the efficiency and effectiveness of learning programs. Design and implement AI-powered learning interventions, such as intelligent tutoring systems, personalized feedback mechanisms, and automated assessment tools. Evaluate the effectiveness of AI/ML/LLM-based learning interventions and make recommendations for improvement. - Data-Driven Optimization (Focus on Readiness):
Develop and implement strategies for collecting, analyzing, and interpreting learning data to identify areas for improvement and optimize learning outcomes with a specific focus on measuring the impact on readiness and job performance. Build dashboards and reports to track…
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