Artificial Intelligence Trainer

HCLTech; Chennai District; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

HCLTech is seeking an experienced AI Trainer / AI Practice Lead to design and deliver enterprise‑level AI training programs across technical teams and leadership. You will lead capability-building initiatives, architect curricula, labs, assessments, and hands-on projects while mentoring senior practitioners to drive tangible AI outcomes.

The role emphasizes Generative AI, LLMs, Prompt Engineering, RAG, AI governance, and scalable learning strategies to align with business goals and technology

Qualifications

• 20+ years of overall experience in technology, AI/ML, or related areas.
• Significant experience designing and delivering enterprise-level AI training programs.
• Strong communication, facilitation, and leadership skills.

Responsibilities

• Design, develop, and deliver advanced AI/ML training programs for technical professionals and leadership teams.
• Lead AI capability-building initiatives aligned with business objectives.
• Develop curricula, labs, assessments, and hands-on projects.
• Deliver training on Generative AI, LLMs, Prompt Engineering, RAG, AI Agents, NLP, ML, and DL.
• Mentor senior professionals and AI practitioners on real-world AI implementations.
• Collaborate with technology leaders to identify AI capability gaps and drive adoption.

Skills

AI/ML mastery

Generative AI

LLMs

Prompt Engineering

RAG

NLP & Deep Learning

Python programming

TensorFlow/PyTorch

MLOps/LLMOps

Leadership & mentoring

Stakeholder management

Education

Bachelors or Masters in CS/AI/ML/Engineering/Data Science

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Job description

HCLTech is looking for an experienced AI Trainer / AI Practice Lead with 20+ years of experience to lead advanced AI learning initiatives, design and deliver enterprise-level AI training programs, and drive capability development across technical teams. The ideal candidate should have strong expertise in Artificial Intelligence, Machine Learning, Generative AI, LLMs, and emerging AI technologies, along with proven experience in training, mentoring, and stakeholder management.

Key Responsibilities

• Design, develop, and deliver advanced AI/ML training programs for technical professionals, architects, developers, and leadership teams.
• Lead AI capability-building initiatives aligned with business and technology objectives.
• Develop curriculum, learning paths, hands-on labs, assessments, and project-based learning programs.
• Deliver training on Generative AI, LLMs, Prompt Engineering, RAG, AI Agents, NLP, Machine Learning, Deep Learning, and AI/ML frameworks.
• Mentor senior technical professionals and AI practitioners on real-world AI implementation and best practices.
• Collaborate with technology leaders, SMEs, architects, and business stakeholders to identify AI capability gaps.
• Drive adoption of modern AI tools, platforms, frameworks, and learning methodologies.
• Conduct workshops, boot camps, technical talks, hackathons, and executive-level AI awareness sessions.
• Develop practical, industry-relevant use cases and hands-on projects for learners.
• Evaluate learner performance through assessments, projects, coding exercises, and technical evaluations.
• Stay updated with the latest developments in Generative AI, LLMs, Agentic AI, AI governance, and responsible AI.
• Guide instructional designers and trainers in developing high-quality AI learning content.
• Define training standards, quality benchmarks, and governance mechanisms for AI learning programs.
• Track training effectiveness, learner engagement, and capability development metrics.

Required Skills

• Strong expertise in Artificial Intelligence and Machine Learning
• Generative AI and Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Agentic AI / AI Agents
• NLP and Deep Learning
• Python and AI/ML programming
• TensorFlow / PyTorch / Scikit-learn
• Hugging Face and modern AI frameworks
• AI application development and deployment
• MLOps / LLMOps
• AI Governance and Responsible AI
• Curriculum and learning program design
• Technical training and facilitation
• Leadership, mentoring, and stakeholder management

Qualification

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Data Science, or a related field.

20+ years of overall experience in technology, AI/ML, software engineering, consulting, training, or related areas.

Significant experience in designing and delivering enterprise-level technical training programs.

Proven experience mentoring senior professionals and leading AI capability-building initiatives.

Strong communication, presentation, facilitation, and leadership skills.

Preferred Experience

Experience working with enterprise AI transformation or AI practice development.

Experience in EdTech, corporate learning, technology consulting, or large-scale enterprise training.

Exposure to AI strategy, solution architecture, or implementation is highly desirable.

Experience creating industry-oriented AI projects, case studies, and hands-on labs.

Relevant AI/ML or cloud certifications will be an added advantage.