Senior Learning Engineer [Lab Schools Focus]
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Software DevelopmentArtificial Intelligence
Requirements
- 5+ years of experience in teaching, instructional leadership, or school leadership with a strong understanding of classroom practice and educator needs.
- Proven ability to design and build AI-powered or advanced software tools using modern techniques such as multi-step workflows, agentic systems, or evaluation loops.
- Experience mentoring, coaching, or training educators with a balance of high standards and empathy.
- Strong understanding of how AI tools are applied in real classroom environments for both teachers and students.
- Excellent communication skills, with the ability to build trust and collaborate effectively in remote, asynchronous settings.
- Strong documentation and knowledge-sharing skills, including creating playbooks, build logs, or instructional resources.
- Ability to manage long-term partnerships across multiple stakeholders while remaining adaptable to shifting priorities.
- Commitment to equity, access, and inclusive education practices, with availability for quarterly multi-day convenings over a 24-month period.
Responsibilities
- Serve as the primary technical and instructional partner for 4–5 lab schools across a 24-month transformation journey, providing coaching, build support, and ongoing engagement.
- Co-design and support AI-enabled learning models with school leadership teams, ensuring alignment with pedagogy, classroom realities, and learning goals.
- Build and iterate custom AI learning tools such as assessment systems, lesson planning tools, student-facing applications, and communication platforms.
- Define quality standards for cohort outputs and ensure all solutions are robust, scalable, and open-source ready from inception.
- Lead coaching and mentorship sessions for educators, school leaders, and embedded regional learning engineers across multiple locations.
- Facilitate quarterly convenings, workshops, and collaborative build sessions to align cohort progress and share best practices.
- Contribute insights from field implementation to improve internal tools, product features, documentation, and learning frameworks.
- Flex into adjacent projects, cross-functional initiatives, or experimental work while maintaining the lab schools program as the core focus.
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