Lead Instructor (Part Time) - AI Solutions Engineering Program

Edversity is seeking a part-time Lead Instructor to oversee its Forward Deployed AI Engineer program, a fully remote, 12-week course designed to prepare students for client-facing AI engineering roles. This position is ideal for experienced AI professionals who wish to teach live online classes alongside their current work. The role involves guiding academic delivery, shaping curriculum, and mentoring students to build and deploy AI solutions in real-world environments.

Key Responsibilities

- Program Leadership: Develop and maintain the curriculum, including course structure, learning outcomes, projects, and assessments. Support teaching assistants to ensure consistent teaching quality. Establish grading criteria and project evaluation rubrics. Collaborate with the Edversity team to align the program with employer needs and industry trends. Provide regular updates on student progress and suggest program improvements.

- Teaching & Mentorship: Conduct live online lectures, labs, and workshops covering core and advanced AI engineering topics such as LLM application development, prompt engineering, retrieval-augmented generation (RAG), AI agents, fine-tuning basics, and model evaluation. Facilitate client-simulation exercises involving requirement gathering, solution scoping, prototyping, and stakeholder presentations. Supervise capstone projects where students create production-ready AI solutions. Review student code and architecture, offering structured and actionable feedback. Coach students on consulting, communication, and documentation skills essential for client-facing roles.

- Continuous Improvement: Keep course content updated with the latest AI models, frameworks, and deployment practices. Contribute reusable teaching materials, lab environments, starter templates, and project datasets.

Required Qualifications

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related fields.
- Minimum of 3 years’ industry experience in AI/ML engineering, software engineering, solutions engineering, or forward deployed engineering, with hands-on experience shipping AI or LLM-based products.
- At least 1 year of teaching, corporate training, or team leadership experience.
- Strong proficiency in Python and working knowledge of JavaScript/TypeScript.
- Proven ability to deploy AI applications in cloud environments and integrate them with client systems.
- Excellent communication and presentation skills in English and Urdu.
- Availability to teach live online sessions on scheduled days with a reliable internet connection and appropriate remote teaching setup.

Preferred Qualifications

- Experience in forward deployed, solutions engineering, or AI consulting roles involving direct client interaction.
- Cloud or AI certifications such as AWS, Azure, or Google Cloud Platform.
- Knowledge of AI safety, data privacy, security, and responsible AI deployment practices.
- Experience designing bootcamp-style or project-based technical training programs.

Technical Tools and Technologies

The role requires familiarity with a broad range of programming languages, frameworks, AI models, and deployment tools, including but not limited to Python, JavaScript/TypeScript, FastAPI, Flask, Node.js, React, Streamlit, Gradio, OpenAI, Anthropic, Google Gemini, Meta Llama, LangChain, Pinecone, Weaviate, LangSmith, Pandas, PyTorch, AWS, Azure, Google Cloud, Docker, Kubernetes, GitHub Actions, REST and GraphQL APIs, Slack and Salesforce integrations, Zoom, Google Meet, Google Classroom, and collaboration tools like Git, Jira, and Notion.

This position offers a unique opportunity to contribute to a cutting-edge AI education program while continuing to engage in professional AI practice remotely.