Automation & AI Delivery Lead at Accenture
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

05 Sep, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Devops, Sql

Industry

Information Technology/IT

Description

ABOUT ACCENTURE

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 791,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com

SKILLS & QUALIFICATIONS

  • 1–4 years technical experience in software engineering, AI/ML, or automation delivery.
  • Proficiency in programming (Python, JavaScript/TypeScript, SQL) and understanding of full-stack concepts.
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and GenAI platforms (Azure OpenAI, Copilot).
  • Understanding of DevOps and CI/CD in software delivery pipelines.
  • Strong eagerness to explore, learn, and apply emerging AI-first practices.

How To Apply:

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Responsibilities
  • Develop code and scripts for AI/ML pipelines, automation tasks, and Data Ops workflows.
  • Build and test GenAI components, such as LLM-driven features and copilots.
  • Contribute to the front-end and back-end development of AI-enabled full-stack applications.
  • Support deployment, monitoring, and testing under senior guidance.
  • Assist in preparing client artefacts, solution documentation, and knowledge base content.
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