Role Overview
The 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 Responsibilities
AI Learning Delivery & Enablement
- Design 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 Support
- Provide 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 & Collaboration
- Coordinate 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 & Qualifications
- 5–8 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 Expertise
Core AI & GenAI
- ML 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 & Engineering
- Working knowledge of data engineering, cloud-native architectures, scalable AI solution design, MLOps, and LLMOps.
Preferred Qualifications
- AI/ML, Cloud, or Technical Training certifications; consulting or client-facing delivery experience preferred.
Why This Role
This 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.
