Senior AI Engineer
Apply for this job
These roles are hiring now
View all similar roles →AI Engineer
- Design, develop and deploy AI and Generative AI solutions for clients
- 3+ years AI Engineering, ML Engineering or Data Science experience
- Python, LLMs, RAG, Azure, Databricks, Snowflake, prompt engineering
Engineer, Machine Learning Systems (AI Products)
- Design and implement large-scale, production-grade distributed AI systems
- 5+ years building and operating production Python services at scale
- Distributed processing (Spark, Dask), SQL, ML models, LLM integration
Senior Machine Learning Engineer - Elements Platform
- Build ML systems for content generation and quality evaluation at scale
- Solid experience building and deploying ML systems in production
- ML lifecycle, model deployment, monitoring, data pipelines, production reliabili
AI Engineer
- Build and deploy AI solutions to enhance operational and sales efficiency
- 2+ years Python development experience
- LLM orchestration, RAG, AI agents, AWS, Kubernetes, Terraform
Accenture is a global professional services company with leading capabilities in digital, cloud and security.
Group Description:
We are seeking an innovative and results-driven AI Engineer to design, develop, and deploy cutting-edge AI solutions, with a focus on Generative AI applications. The ideal candidate will have a strong background in machine learning, software engineering, and cloud-based AI services. You will collaborate with cross-functional teams to deliver scalable, reliable, and impactful AI solutions aligned with business objectives. We would expect 2-4 years professional experience.
Project Description:
- 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.
Key Skills:
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning techniques.
- Proficiency in programming languages such as Python and experience with API integration.
- Hands-on experience with LLM fine-tuning and Generative AI tools.
- Strong knowledge of cloud AI platforms (e.g., AWS SageMaker, Azure AI, Google Vertex AI).
- Excellent problem-solving skills and ability to translate business needs into technical solutions.
Location: Sydney or Melbourne or Brisbane
Benefits of working at Accenture:
- 18 weeks paid parental leave
- Long & short-term career break opportunities
- Structured career development program
- Local and international career opportunities.
- Certified as a Family Inclusive Workplace™
- Flexible Work Arrangements - centered around Accenture's Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
- We are proud to be in the top 3 of last year's Diversity & Inclusion Index! We are a WORK180 Endorsed Employer.
All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.