GenAI & LLM Lead, AI Delivery Architect

Australian College Of Rural And Remote Medicine

Brisbane

On-site

AUD 140,000 - 210,000

Full time

7 days ago
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Benefits offered by this job

18 weeks paid parental leave
Long & short‑term career breakOpportun
Structured career development program
Local and international careerOpportun
Family Inclusive Workplace™
Flexible work arrangements

Job summary

Accenture in Australia is seeking an AI Engineer to design, develop, and deploy Generative AI solutions, with emphasis on LLMs, model fine-tuning, and scalable data pipelines. You will collaborate with cross-functional teams and lead streams of work.

The role requires 5–7 years of experience in ML, software engineering, and cloud-based AI services, along with strong problem-solving and client stakeholder engagement.

Qualifications

  • 5–7 years of professional experience in ML/software engineering.
  • Experience with generative AI and deployment of ML models.
  • Ability to translate business needs into technical solutions.
  • Strong communication skills with senior stakeholders.

Responsibilities

  • Design and develop AI models focused 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 performance.
  • Lead delivery teams and streams of work.

Skills

LLM fine-tuning
Generative AI
Python
ML frameworks
Cloud platforms
API integration
Stakeholder collaboration
Team leadership

Tools

TensorFlow
PyTorch
SageMaker
Azure AI
Vertex AI

Job description

Accenture in Australia is seeking an AI Engineer to design, develop, and deploy Generative AI solutions, with emphasis on LLMs, model fine-tuning, and scalable data pipelines. You will collaborate with cross-functional teams and lead streams of work.

The role requires 5–7 years of experience in ML, software engineering, and cloud-based AI services, along with strong problem-solving and client stakeholder engagement.

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