Job Description

Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering, and technology-enabled transformation programs.

We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value.

A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com Infosys Consulting - a real consultancy for real consultants.

Requirements

Job Title: Generative AI Engineer

Location: Sydney
Employment Type: Full-time / Contract
Start Date: Immediate

About the Role:

We are seeking a highly skilled and motivated Generative AI Engineer to join our team and contribute to cutting-edge AI solutions. This role involves designing, developing, and deploying generative AI models and applications, with a strong focus on Large Language Models (LLMs), Python programming, and cloud-based infrastructure.

You will work closely with cross-functional teams to build intelligent systems that leverage generative AI capabilities for real-world applications.

Key Responsibilities:

• Design, develop, and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, Mistral).
• Build scalable and efficient pipelines for training and deploying GenAI models.
• Integrate GenAI capabilities into enterprise applications and services.
• Collaborate with data scientists, ML engineers, and product teams to define use cases and deliver AI-powered solutions.
• Optimize model performance and ensure responsible AI practices.
• Maintain and improve existing GenAI systems and tools.
• Document processes, model architectures, and deployment strategies.

Required Skills & Experience:

• Strong expertise in Python for AI/ML development, including libraries such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
• Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks.
• Experience in building and deploying AI models in production environments.
• Familiarity with prompt engineering, fine-tuning, and model evaluation techniques.
• Understanding of NLP, deep learning, and transformer architectures.
• Experience with REST APIs and integrating AI models into applications.

Preferred / Added Advantage:

• Exposure to Cloud Engineering and deployment on platforms like Azure and AWS
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).

What We Offer:

• Opportunity to work on cutting-edge GenAI projects.
• Collaborative and innovative work environment.
• Flexible work arrangements.
• Competitive compensation aligned with market standards.

Benefits

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

We offer you great opportunities within a dynamically growing consultancy. You will elaborate and deliver best practice solutions and will be able to further develop your solution design, implementation, and project to management skills. At Infosys Consulting you will discover a truly global culture, highly dedicated and motivated colleagues, a co-operative work environment and interesting training opportunities.