{"id":747767,"url":"https://alion.io/job/fullstack-academy-instructor-ags-agentic-ai","title":"Instructor - AGS + Agentic AI","company":{"id":17956,"name":"Fullstack Academy","domain":"fullstackacademy.com","url":"https://alion.io/company/fullstack-academy","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":60,"open_postings":21,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Education","role_family":"Education","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":111000,"period":"year","method":"role_country_seniority_unknown","sample_n":3356},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"n8n","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Claude Code","optional":true},{"name":"Cursor","optional":true},{"name":"OpenAI Codex","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-02T17:22:05Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":53},"description":"About Us\nSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialised training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, artificial intelligence, cybersecurity, product management, and more-skills that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2,000 corporate training organisations across 150 countries have harnessed our award-winning programmes to achieve their career and business goals.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.\nPosition Overview\nThe Online Trainer - AGS & Agentic AI will play a key role in delivering engaging, practical, and industry-focused learning experiences to adult learners enrolled in our advanced Generative AI and Agentic AI programmes.\nThe trainer will facilitate live online training sessions covering Advanced Generative AI, Agentic AI, AI Agents, Large Language Models, Prompt Engineering, RAG, AI-powered automation, multi-agent systems, AI workflows, and LLM-powered applications.\nThis role requires a strong combination of hands-on technical expertise, industry experience, and instructional ability. The trainer will be responsible for explaining advanced AI concepts, demonstrating real-world AI agent implementations, conducting hands-on activities, and connecting technical concepts to practical business use cases.\nThe ideal candidate should have significant hands-on experience designing, building, implementing, or deploying AI agents, agentic workflows, LLM-powered applications, RAG systems, tool-using agents, multi-agent systems, and AI automation solutions.\nCandidates should also be comfortable working with modern AI tools and frameworks, including ChatGPT, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, AI APIs, coding agents, and workflow automation platforms.\nClasses are delivered 100% online in a synchronous, instructor-led format.\nKey Responsibilities\nDeliver live online instructor-led training sessions covering Advanced Generative AI, Agentic AI, AI Agents, LLMs, AI automation, and emerging AI technologies.\nCover core AGS and Agentic AI topics including:\nAdvanced Generative AI concepts and applications\nEvolution of Generative AI towards Agentic AI\nAI Agents and autonomous AI systems\nAgentic AI architectures and design patterns\nAgentic workflows and automation\nLarge Language Models and LLM-powered applications\nPrompt Engineering and advanced prompting techniques\nContext Engineering\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAI agent memory and context management\nPlanning, reasoning, and task decomposition\nMulti-agent systems and agent collaboration\nLLM orchestration\nAI-powered workflow automation\nAI agents interacting with APIs, databases, files, and external tools\nBuilding end-to-end AI agent solutions\nEvaluating and improving AI agent performance\nResponsible AI, security, privacy, bias, and governance\nEmerging trends in Agentic AI and autonomous systems\nPrepare and continuously update:\nTraining presentations\nLearning materials\nPractical exercises\nHands-on labs\nAgentic AI demonstrations\nAI agent use cases\nReal-world business case studies\nPrompt libraries and templates\nReference architectures\nPractical assignments and activities\nConduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations.\nConduct practical demonstrations using modern AI tools, platforms, frameworks, and development environments such as:\nChatGPT\nClaude\nGemini\nMicrosoft Copilot\nLangChain\nLangGraph\nCrewAI\nAutoGen\nAI APIs and LLM platforms\nRAG frameworks\nVector databases\nEmbedding and retrieval technologies\nn8n and other workflow automation platforms\nAI coding agents and development tools\nPython and AI development environments\nDemonstrate how AI agents can:\nUnderstand and decompose complex tasks\nPlan and reason through multi-step problems\nUse tools and external APIs\nRetrieve and analyse information\nMaintain context and memory\nCollaborate with other specialised agents\nExecute automated workflows\nInteract with enterprise systems\nGenerate and validate outputs\nOperate with human-in-the-loop oversight\nGuide learners through real-world Agentic AI scenarios across business functions such as operations, marketing, finance, customer service, software development, research, productivity, and enterprise automation.\nSupport learners in designing and developing practical LLM-powered applications, AI agents, multi-agent systems, RAG applications, and AI automation workflows.\nMaintain high learner engagement and instructional quality throughout all sessions.\nStay current with rapidly evolving Generative AI, Agentic AI, AI agent frameworks, LLMs, AI coding agents, automation platforms, and emerging AI architectures.\nCollaborate with internal curriculum teams to continuously improve training content, practical activities, and learner outcomes.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.\n8+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Software Engineering, Data Science, or related technology domains.\nSignificant hands-on experience with Generative AI and Agentic AI technologies.\nDemonstrated experience designing, developing, implementing, or deploying AI agents or LLM-powered applications.\nPrior experience delivering online instructor-led training to professionals or adult learners.\nStrong understanding of Generative AI, LLMs, Agentic AI, AI agents, automation, and AI-powered applications.\nStrong understanding of:\nAgentic AI architectures\nAI agent design and development\nLLM-powered applications\nAgentic workflows\nPrompt Engineering\nContext Engineering\nRetrieval-Augmented Generation (RAG)\nTool calling and function calling\nAgent memory and context management\nPlanning and reasoning\nTask decomposition\nMulti-agent systems\nLLM orchestration\nAI workflow automation\nAI APIs and integrations\nResponsible AI, security, privacy, and governance\nHands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.\nStrong experience working with modern LLM platforms such as OpenAI, Anthropic, Google Gemini, Microsoft Copilot, or similar platforms.\nStrong understanding of AI automation and workflow orchestration.\nExperience with Python or another programming language used for AI development.\nExcellent communication, presentation, storytelling, and facilitation skills.\nRequired Skills\nStrong hands-on expertise in Generative AI and Agentic AI.\nStrong practical experience building or implementing AI agents and agentic workflows.\nAbility to simplify advanced AI concepts through practical examples and live demonstrations.\nExperience building or demonstrating LLM-powered applications, RAG solutions, AI agents, and automation workflows.\nExperience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.\nStrong understanding of RAG, tool calling, function calling, agent memory, planning, reasoning, and LLM orchestration.\nAbility to explain multi-agent architectures and agent collaboration.\nExperience working with ChatGPT, Claude, Gemini, Microsoft Copilot, or similar AI assistants.\nExperience with AI APIs, integrations, external tools, databases, and enterprise systems.\nExperience with workflow automation platforms such as n8n or similar tools.\nStrong understanding of AI-powered business automation and productivity use cases.\nExcellent communication and storytelling skills.\nExperience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms.\nStrong learner engagement, facilitation, and Q&A management skills.\nAbility to conduct interactive, activity-driven learning experiences.\nAbility to connect Agentic AI concepts with real-world business applications.\nPreferred Skills\nExperience training senior professionals, technology professionals, or adult learners in Generative AI and Agentic AI.\nExperience creating Advanced Generative AI / Agentic AI training content, labs, exercises, demonstrations, and case studies.\nHands-on experience developing production-grade AI agents or agentic applications.\nExperience implementing multi-agent systems using CrewAI, AutoGen, LangGraph, or similar technologies.\nExperience implementing RAG pipelines, vector databases, embeddings, and knowledge retrieval systems.\nExperience integrating LLMs with external APIs, databases, enterprise tools, and business applications.\nExperience with AI workflow automation and orchestration platforms, including n8n or similar platforms.\nExperience with AI coding agents such as Claude Code, Cursor, GitHub Copilot, Codex, or similar tools.\nExperience building AI-powered productivity and business automation solutions.\nExperience demonstrating AI agent use cases across different business functions.\nFamiliarity with emerging Agentic AI architectures and autonomous AI systems.\nStrong understanding of responsible AI, AI security, privacy, ethics, governance, and risk management.\nKey Competencies\nStrong instructional and facilitation skills.\nExcellent Generative AI and Agentic AI expertise.\nStrong hands-on understanding of AI agents and agentic architectures.\nAbility to explain complex technical concepts clearly through practical examples.\nStrong understanding of LLMs, RAG, tool calling, agent memory, planning, reasoning, and multi-agent systems.\nStrong understanding of AI automation and workflow orchestration.\nAbility to demonstrate real-world AI agent implementations.\nProfessional virtual presence.\nAnalytical thinking and structured problem-solving.\nStrong learner engagement and mentoring mindset.\nExcellent communication and presentation abilities.\nAbility to translate technical AI capabilities into practical business use cases.\nPassion for developing advanced AI capabilities among professionals and learners.\nStudent Support & Mentorship\nProvide individualised learner support during live training sessions and scheduled office hours.\nMaintain regular communication regarding learner progress, training expectations, and skill development.\nRespond promptly and professionally to learner and internal team communications.\nProvide timely, constructive feedback on practical exercises, activities, and learning assessments.\nSupport learners in applying Generative AI, Agentic AI, LLM, RAG, and AI automation concepts to practical business scenarios.\nHelp learners design and experiment with AI agents, multi-agent workflows, RAG applications, tool integrations, and AI-powered automation through guided practice and hands-on demonstrations.\nPerformance Monitoring\nEvaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.\nMaintain accurate records of learner engagement and performance.\nIdentify learners requiring additional support and collaborate with internal teams to improve learning outcomes.\nContribute to continuous improvement initiatives for training quality and learner success.\nCollaboration & Professional Conduct\nAdhere to institutional policies and instructional standards.\nFoster an inclusive, collaborative, and professional learning environment.\nServe as a mentor and industry role model for learners developing their Generative AI and Agentic AI capabilities.\nCollaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.\nRepresent Simplilearn professionally when interacting with learners, staff, and external s...","description_format":"text","description_chars":13374,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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