Senior AI Engineer

Talent; Adelaide; On-site; AUD 150,000 - 190,000; Full time

Job summary

Talent is seeking a Senior Applied AI Engineer to join a major digital transformation initiative. You will help build an AI-enabled decision-support platform that blends operational data, mathematical optimisation and agentic AI, working closely with Data Engineers to ensure data models are robust and production-ready.

The role emphasizes a strong product mindset, valuing actionable insights and value for users, while aligning to the broader product vision.

Qualifications

• Experience with AWS Bedrock and AgentCore in enterprise AI projects.
• Strong data modelling experience.
• Proficiency in Python and production-grade software engineering.
• Experience delivering enterprise AI solutions across data, optimisation and application layers.
• Ability to collaborate across data, optimisation and application engineering teams.

Responsibilities

• Develop an AI-enabled decision-support platform blending data, optimisation and agentic AI.
• Build optimisation and AI capabilities for complex planning problems.
• Work with Data Engineers to align data models with product goals.
• Design natural language interfaces over operational data for users.

Skills

AWS Bedrock

Data modelling

Python

Enterprise AI

Data engineering collaboration

Tools

AgentCore

AWS Bedrock

Job description

Senior Applied AI Engineer

Join a major digital transformation initiative focused on improving complex operational planning and scheduling.

The role sits within a small, highly collaborative product team developing an AI-enabled decision-support platform that combines operational data, mathematical optimisation and agentic AI. A big focus initially will be working closely with Data Engineers to get the underlying data models right, before helping build optimisation and AI capabilities that allow users to interrogate complex operational information using natural language. This is not a traditional AI Engineering role focused purely on LLM architecture or prompt engineering. The team is looking for someone who understands how optimisation models, operational data and AI can work together to solve complex planning problems. A strong product mindset will also be important. They want someone who can challenge assumptions, ask what will genuinely create value for users, and help keep the solution aligned to the broader product vision.

Key Areas Include

• Data modelling and analytical workflows
• Mathematical optimisation, planning and scheduling
• AWS Bedrock and AgentCore
• Agentic AI workflows and tool integrations
• Python and production-grade software engineeringNatural language interfaces over operational data
• Building practical, user-facing decision-support products

Must-have Experience

• AWS Bedrock and AgentCore
• Strong data modelling experience
• Python / software engineering capability
• Experience building enterprise AI solutions
• Ability to work across data, optimisation and application engineering

Experience in optimisation, scheduling, industrial environments, mining/resources or other complex operational settings would be highly regarded.