PMO Consultant enabling PwC Australia to adopt AI and tech - enabled processes, enhancing collaboration and governance across projects. Leading initiatives from planning to execution with strong program governance.
About the role
- AI Engineer focused on building scalable AI agent systems for enterprises. Engaging with both open-source and closed-source LLMs while ensuring business alignment.
Responsibilities
- Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
- Build tools enabling AIs to interact with critical enterprise software platforms.
- Ensure AI designs align with business objectives and industry best practices.
- Create data generation and processing pipelines to train and fine-tune custom ML models.
- Implement and manage training and evaluation pipelines for LLMs.
- Manage AI infrastructure across platforms such as AWS, Azure, or GCP.
- Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.
Requirements
- Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.
- 3+ years of experience in software engineering, platform engineering, or related roles.
- Proven expertise in AI model building and agent development.
- Strong background in ML and LLM-driven systems development.
- Experience with compound AI systems, vector databases, and tool-calling AIs.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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