Create a positive, professional and inclusive learning environment, by:
Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas
Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
Providing constructive and timely feedback to students in the cohort
Assisting in the management of Performance Action Plans for individual students who need additional support
Serve as role model for students and as an ambassador for our brand, by:
Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
Encouraging teamwork and seek feedback for continuous improvement

Requirements

7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science, with hands-on expertise in building and deploying AI models.
A strong understanding of Agentic AI, the latest developments in AI frameworks, multi-agent ecosystems, and deployment practices.
Lead training sessions that cover the development, deployment, and scaling of Agentic AI solutions. Ensure students gain a practical understanding of frameworks such as CrewAI, AutoGen, and LangChain.
Facilitate practical coding labs, offering guidance in Python and hands-on experience with agent-based AI frameworks. Ensure students build and deploy solutions, applying concepts learned.
Teach students the business implications of AI agents, focusing on performance measurement, ROI, and the integration of AI systems into real-world business environments.
Instruct on the use of no-code/low-code automation tools like n8n, Zapier, and Make.com, enabling students to automate AI processes and workflows.
Deploying AI in Production: Share expertise on the deployment of Agentic AI systems in production environments, emphasizing real-world challenges and best practices for scalability
Proven hands-on experience working with agentic AI frameworks such as CrewAI, AutoGen, and LangChain. Experience deploying AI solutions in production environments.

Benefits

The expected compensation for this role is $50 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Artificial IntelligenceMachine LearningData SciencePythonAgentic AIAI frameworksmulti-agent ecosystemsno-code automationlow-code automationperformance measurement

Soft Skills

communicationteamworkprofessionalismempathystudent supportfeedbackcontinuous improvementclassroom culturestudent retentionstudent satisfaction