Job Overview

Accenture is hiring an Associate Manager - AI Trainer in Hyderabad for a technology education role focused on Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, and Data Science. This senior position is suited to an experienced AI professional who can combine strong technical expertise with practical training, mentoring, curriculum development, and client engagement.

The role involves delivering hands-on learning sessions, creating training materials and labs, supporting learners after training, adapting programs to client requirements, and improving learning experiences through feedback. The position also requires client-facing communication and may involve travel to client locations for training delivery.

Key Responsibilities

• Conduct practical training sessions covering AI, Machine Learning, Generative AI, Agentic AI, and Data Science.
• Develop structured course materials, hands-on labs, exercises, and real-world case studies.
• Mentor learners and provide support for technical and conceptual questions after training.
• Customize learning programs according to client requirements and business needs.
• Collect learner feedback and recommend improvements to curriculum and delivery.
• Explain advanced AI concepts clearly to professional and executive audiences.
• Deliver training related to prompt engineering, LLM fine-tuning, Generative AI, and Agentic AI workflows.
• Bring practical AI project experience into learning programs through relevant examples and use cases.
• Work with clients and senior stakeholders to understand capability-building requirements.
• Support curriculum development for emerging AI technologies.
• Travel to client locations when required for training delivery.

Required Skills

Candidates should have strong knowledge of AI and Machine Learning together with substantial professional experience in AI, ML, or Generative AI. Strong Python skills are required, including practical familiarity with NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow.

The role requires a solid understanding of machine learning and deep learning algorithms, Generative AI models including LLMs and diffusion models, prompt engineering, fine-tuning, and AI deployment practices. Knowledge of Agentic AI concepts and workflows is also important.

Prior training or mentoring experience is required, and the job description specifically mentions EdTech experience. Candidates should also have client-facing experience with an MNC or consulting firm and be comfortable communicating with C-suite stakeholders.

Preferred Skills

Experience with multi-agent systems, real-world AI project deployment, and business-focused AI applications is valuable. Familiarity with AWS, Microsoft Azure, or Google Cloud Platform for AI and ML workflows is preferred. Knowledge of MLOps and LLMOps, particularly for production Generative AI and Agentic AI solutions, is also useful.

Relevant AI, Machine Learning, Generative AI, or Data Science certifications are preferred. The supplied job description mentions DeepLearning.ai, Google AI, and Microsoft AI as examples.

Education

A bachelor's degree in Computer Science is required. The detailed qualifications also identify Data Science, Artificial Intelligence, or a related field as relevant, with a master's degree being acceptable.

Experience

The job description states that 8-12 years of professional experience in AI, Machine Learning, or Generative AI is required, along with prior training or mentoring experience. It also references 5 years of relevant experience for certain client-facing and technical capabilities. Applicants should therefore demonstrate senior-level AI expertise together with proven training, mentoring, and client engagement experience.

Required Technologies

• Python
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models
• LLMs
• Diffusion Models
• Agentic AI
• Prompt Engineering
• LLM Fine-tuning
• AWS
• Microsoft Azure
• Google Cloud Platform
• MLOps
• LLMOps
• Multi-Agent Systems
• Agile

Soft Skills

Strong communication and presentation skills are central to this role. The successful candidate should be able to simplify complex technical subjects, adapt explanations to different audiences, and create an engaging learning environment.

Client management, mentoring, active listening, planning, adaptability, and stakeholder communication are also important. Candidates should be comfortable working with professionals at different organizational levels and presenting technical information to senior and executive audiences.

Benefits of Working in this Role

This position provides an opportunity to combine advanced AI expertise with professional training and mentoring. It offers exposure to Generative AI, Agentic AI, Machine Learning, cloud AI workflows, MLOps, LLMOps, and emerging AI delivery practices while working with business and client stakeholders.

Work Mode

The supplied job description identifies Hyderabad as the location and states that the role is open to travel to client locations for training delivery. It does not explicitly state a remote or hybrid work model, so this listing is classified as onsite based on the available location information.

Location

Hyderabad, India. Travel to client locations may be required for training delivery.

Who Should Apply

This opportunity is suitable for experienced AI, Machine Learning, Generative AI, Data Science, and AI training professionals with strong technical backgrounds and proven teaching or mentoring ability. Candidates with EdTech experience, consulting or MNC client-facing experience, and C-suite communication skills should consider applying.

Career Growth

The role can help experienced AI professionals deepen their expertise across AI education, Generative AI, Agentic AI, emerging technology adoption, curriculum design, client engagement, mentoring, and executive communication. Exposure to enterprise learning requirements can also strengthen consulting and instructional leadership capabilities.

Application Advice

Make your resume clearly demonstrate both AI expertise and training experience. Highlight Python, TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Generative AI, LLMs, prompt engineering, fine-tuning, Agentic AI, and cloud AI experience where applicable.

Include examples of training programs, workshops, curriculum development, mentoring, EdTech work, and client-facing delivery. If you have deployed AI solutions in production or worked with MLOps, LLMOps, multi-agent systems, or business-focused AI projects, describe those experiences clearly. List relevant certifications and emphasize presentation, consulting, stakeholder management, and executive communication skills.