Instructor – AGS, Agentic AI

Responsibilities

• Deliver live online instructor-led training sessions covering Advanced Generative AI, Agentic AI, AI Agents, LLMs, AI automation, and emerging AI technologies
• Teach agentic AI architectures, workflows, LLM applications, prompt and context engineering, RAG, tool/function calling, memory, planning, reasoning, task decomposition, multi-agent systems, orchestration, automation, responsible AI, and governance
• Prepare and continuously update presentations, learning materials, practical exercises, hands‑on labs, demonstrations, use cases, case studies, prompt libraries, reference architectures, assignments, and activities
• Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands‑on demonstrations
• Demonstrate AI tools, platforms, frameworks, APIs, vector databases, retrieval technologies, workflow automation platforms, and Python development environments
• Guide learners through real‑world Agentic AI scenarios across operations, marketing, finance, customer service, software development, research, productivity, and enterprise automation
• Support learners in designing and developing LLM‑powered applications, AI agents, multi‑agent systems, RAG applications, and AI automation workflows
• Provide individualized learner support during live sessions and scheduled office hours
• Maintain communication regarding learner progress, expectations, and skill development
• Provide timely feedback on exercises, activities, and assessments
• Evaluate learner progress and maintain accurate engagement and performance records
• Identify learners needing additional support and collaborate with internal teams to improve outcomes
• Foster an inclusive, collaborative, and professional learning environment
• Collaborate with instructional staff and curriculum teams to enhance training effectiveness
• Represent Simplilearn professionally with learners, staff, and external stakeholders

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
• 8+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Software Engineering, Data Science, or related technology domains
• Significant hands‑on experience with Generative AI and Agentic AI technologies
• Demonstrated experience designing, developing, implementing, or deploying AI agents or LLM‑powered applications
• Prior experience delivering online instructor‑led training to professionals or adult learners
• Strong understanding of Generative AI, LLMs, Agentic AI, AI agents, automation, and AI‑powered applications
• Strong understanding of agentic AI architectures, AI agent design and development, LLM‑powered applications, agentic workflows, prompt engineering, context engineering, RAG, tool calling, function calling, agent memory, planning, reasoning, task decomposition, multi‑agent systems, LLM orchestration, AI workflow automation, AI APIs and integrations, responsible AI, security, privacy, and governance
• Hands‑on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
• Strong experience with modern LLM platforms such as OpenAI, Anthropic, Google Gemini, Microsoft Copilot, or similar platforms
• Strong understanding of AI automation and workflow orchestration
• Experience with Python or another programming language used for AI development
• Excellent communication, presentation, storytelling, and facilitation skills
• Ability to simplify advanced AI concepts through practical examples and live demonstrations
• Experience building or demonstrating LLM‑powered applications, RAG solutions, AI agents, and automation workflows
• Experience with ChatGPT, Claude, Gemini, Microsoft Copilot, or similar AI assistants
• Experience with AI APIs, integrations, external tools, databases, and enterprise systems
• Experience with workflow automation platforms such as n8n or similar tools
• Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms
• Strong learner engagement, facilitation, and Q&A management skills
• Ability to conduct interactive, activity‑driven learning experiences
• Ability to connect Agentic AI concepts with real‑world business applications
• Applicants must be legally authorised to work in the United States at the time of application and throughout employment

Core Competencies

Demonstrates expertise in delivering live online training on Advanced Generative AI, Agentic AI, and LLM applications, while effectively guiding learners through practical exercises and real‑world scenarios. Proficient in designing and developing AI‑powered applications and automation workflows, with a strong focus on learner engagement and support.

Highest‑signal resume keywords

• Generative AI
• Agentic AI
• LLM Application Development
• Python Programming
• Online Instructor‑Led Training

Hard Skills

• Generative AI
• Agentic AI
• LLM Application Development
• AI Automation
• Prompt Engineering
• Context Engineering
• AI Agent Design
• Multi‑Agent Systems
• Workflow Orchestration
• AI APIs

Soft Skills

• Communication
• Presentation
• Facilitation
• Storytelling
• Learner Engagement

Industry Keywords

• Artificial Intelligence
• Machine Learning
• Data Science
• AI Automation
• Enterprise Automation
• Responsible AI
• Governance
• Security
• Privacy
• Training Effectiveness

Tools & Technologies

• LangChain
• LangGraph
• CrewAI
• AutoGen
• OpenAI
• Anthropic
• Google Gemini
• Microsoft Copilot
• Zoom
• Microsoft Teams

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