Generative AI Lead Engineer (LLMs, Cloud)

Accenture Global; Brisbane; On-site; AUD 150,000 - 210,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Career break opportunities

Structured career development program

Local and international career options

Family Inclusive Workplace

Flexible Work Arrangements

Diversity & Inclusion Index leadership

Job summary

Accenture is seeking an innovative AI Engineer to design, develop, and deploy Generative AI solutions. A strong ML and software engineering background with cloud experience is required, with the ability to lead project streams and coordinate solution architecture across client teams.

The role focuses on designing LLM-based applications, fine-tuning models, and building scalable data pipelines for training, evaluation, and deployment, while collaborating with business and IT stakeholders to

Qualifications

• 5–7 years professional experience in AI/ML
• Strong background in machine learning, software engineering and cloud-based AI services
• Ability to lead project teams and support solution architecture and sales activities
• Comfortable collaborating with senior client stakeholders across business and IT domains
• Proven ability to design, develop, deploy and monitor AI solutions with impact

Responsibilities

• Design and develop AI models focusing on LLMs and Generative AI.
• Fine-tune pre-trained models for defined 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 performance.
• Lead delivery teams and streams of work.

Skills

Generative AI

LLMs

Machine Learning

Software Engineering

Cross-functional collaboration

Tools

TensorFlow

PyTorch

Python

AWS SageMaker

Azure AI

Google Vertex AI

API integration

Job description

Accenture is seeking an innovative AI Engineer to design, develop, and deploy Generative AI solutions. A strong ML and software engineering background with cloud experience is required, with the ability to lead project streams and coordinate solution architecture across client teams.

The role focuses on designing LLM-based applications, fine-tuning models, and building scalable data pipelines for training, evaluation, and deployment, while collaborating with business and IT stakeholders to