Senior AI Engineer - Generative AI & LLMs

Accenture Global; Sydney; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Long & short-term career break

Structured career development

Local and international career options

Family Inclusive Workplace

Flexible Work Arrangements

Diversity & Inclusion Index

Privacy & data protection commitment

Job summary

Accenture is seeking an innovative AI Engineer to design, develop, and deploy Generative AI solutions in Australia. You will work on LLM-focused models, fine-tuning, and scalable pipelines, collaborating with cross-functional teams to deliver business impact.

The role requires 2–4 years of professional experience, strong ML and software engineering background, and hands-on cloud AI platform expertise to translate business needs into technical solutions.

Qualifications

• 2–4 years professional experience in ML or AI engineering.
• Strong software engineering background and problem-solving skills.
• Experience with Generative AI, LLMs and model deployment.
• Familiarity with cloud AI platforms and APIs.
• Ability to translate business needs into technical solutions.

Responsibilities

• Design and develop AI models, focusing on LLMs and Generative AI.
• Fine-tune pre-trained models for specific use cases.
• Build scalable pipelines for model training, evaluation, and deployment.
• Collaborate with stakeholders to align AI solutions with business needs.
• Monitor, maintain, and enhance deployed AI solutions for optimal performance.

Skills

ML frameworks

Python programming

LLM fine-tuning

Cloud AI platforms

API integration

Problem solving

Tools

TensorFlow

PyTorch

AWS SageMaker

Azure AI

Vertex AI

Job description

Accenture is seeking an innovative AI Engineer to design, develop, and deploy Generative AI solutions in Australia. You will work on LLM-focused models, fine-tuning, and scalable pipelines, collaborating with cross-functional teams to deliver business impact.

The role requires 2–4 years of professional experience, strong ML and software engineering background, and hands-on cloud AI platform expertise to translate business needs into technical solutions.