AI Engineering Lead - Build & Scale Next-Gen AI (Hybrid)

Experis Executive

Melbourne

Hybrid

AUD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Hybrid working environment

Job summary

Experis Executive is seeking an AI Engineering Manager to lead a high-performing team focused on AI agents, generative AI, ML and intelligent automation. You will combine hands-on technical leadership with people leadership, shaping AI strategy and delivery while engaging senior stakeholders.

You will drive architecture, platform delivery and governance, ensuring scalable, secure and measurable AI outcomes in production environments.

Qualifications

  • Experience leading AI/ML engineering teams
  • Strong background in AI, software engineering and delivery
  • Excellent stakeholder management and communication
  • Hands-on technical leadership with focus on production AI solutions

Responsibilities

  • Lead and mentor a team of AI and software engineers
  • Drive design and delivery of AI agents and intelligent automation solutions
  • Establish best practices across AI engineering and platform delivery
  • Oversee cloud-based AI platforms ensuring scalability, security and reliability
  • Collaborate with stakeholders to translate AI opportunities into measurable value
  • Manage project planning, prioritisation and delivery of outcomes
  • Evaluate emerging AI technologies and governance practices
  • Balance strategic leadership with hands-on technical delivery

Skills

AI leadership
Team leadership
Python programming
Software engineering practices
Stakeholder management

Tools

AWS/Azure/GCP
CI/CD
MLOps

Job description

Experis Executive is seeking an AI Engineering Manager to lead a high-performing team focused on AI agents, generative AI, ML and intelligent automation. You will combine hands-on technical leadership with people leadership, shaping AI strategy and delivery while engaging senior stakeholders.

You will drive architecture, platform delivery and governance, ensuring scalable, secure and measurable AI outcomes in production environments.

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