Training and Development Specialist

Role OverviewThe AI Skills & Technology Faculty supports Perficient’s Global AI-First Academy by delivering practical AI learning, hands-on enablement, and scalable program operations for consultants and delivery teams across Generative AI, ML, Data Engineering, and Automation.Key ResponsibilitiesAI Learning Delivery & EnablementDesign and deliver instructor-led AI, GenAI, ML, Data Engineering, and Automation training through labs, workshops, bootcamps, and hackathons using client-aligned use cases.Mentor learners and delivery teams on applied AI projects to accelerate client readiness.Applied AI SupportProvide technical guidance and learner support to help teams apply AI learning to internal and client-aligned use cases.Support account-specific AI enablement with Academy Pillar Leads, business stakeholders, and delivery teams.Program Operations & CollaborationCoordinate schedules, rosters, facilitators, labs, communications, reporting, and follow-ups across regional operations.Maintain trackers and streamline operations through automation opportunities, reusable templates, dashboards, and repeatable workflows.Support internal showcases and communities of practice by coordinating sessions and sharing reusable learning assets.Required Skills & Qualifications5–8 years in AI/ML, Data Science, GenAI, Data Engineering, Automation, or technical enablement.Experience in technical training, facilitation, learner support, or enablement for enterprise teams.Strong ability to translate complex AI concepts into practical, hands-on learning experiences.Strong communication, coordination, facilitation, and stakeholder-management skills.Applied AI Skills & Technical ExpertiseCore AI & GenAIML pipelines, model evaluation, deployment, RAG, agents, orchestration, prompt engineering, solution design, responsible AI, and enterprise adoption.AI Platforms & Ecosystems (Working proficiency in at least one)Microsoft: Azure AI, Azure OpenAI, Azure ML, Copilot stack | Google: Vertex AI, Gemini, BigQuery ML | AWS: SageMaker, Bedrock | Open Source: PyTorch, TensorFlow, Hugging Face, LangChain, Llama.Data & EngineeringWorking knowledge of data engineering, cloud-native architectures, scalable AI solution design, MLOps, and LLMOps.Preferred QualificationsAI/ML, Cloud, or Technical Training certifications; consulting or client-facing delivery experience preferred.Why This RoleThis role supports Perficient’s strategy to be an AI-first digital transformation company by delivering practical AI learning, enabling consistent program operations, and helping consultants build client-ready skills.