Director of Product Engineering - Enterprise AI Platform

Preacta Recruitment; Sydney; Hybrid; AUD 220,000 - 360,000; Full time

Job summary

Preacta Recruitment seeks a Director of Product Engineering for an Enterprise AI Platform in Sydney. This hybrid role leads engineers, product managers and delivery leads to scale adoption of AI tools in a regulated enterprise.

You will balance hands-on technical influence with leadership, ensuring robust architecture, risk controls and measurable business impact. Excellent communication with execs and risk teams is essential.

Qualifications

• Leads engineers, product managers and delivery leads.
• Hands-on involvement in design, architecture and integration decisions.
• Ability to decide what to build, buy or partner with engineers present.
• Translates AI solutions into business-wide, safe adoption.

Responsibilities

• Lead a team of engineers, product managers and delivery leads.
• Spend about a third of your time in the detail: agent design, architecture, integration choices.
• Decide what to build, buy or partner on, with engineers in the room.
• Turn the best team-level AI solutions into something the whole business can safely use.
• Work with risk and security so the business moves fast and stays in control.
• Be judged on real adoption and business impact, not how many tools you launched.

Skills

Team leadership

Hands-on ML

GenAI experience

Executive communication

Regulated environment

Job description

Director of Product Engineering - Enterprise AI Platform

Director of Product Engineering - Enterprise AI Platform | Sydney ONLY (hybrid)
Salary (open): Base + Super + Bonus + Shares

THE SITUATION
The AI tools are already in place. The hard part now is getting people to use them every day, without breaking the rules of a heavily regulated business. This role runs that. You will lead the team and the platform behind it, and stay close enough to the engineering to challenge it.

WHAT YOU WILL DO

• Lead a team of engineers, product managers and delivery leads
• Spend about a third of your time in the detail: agent design, architecture, integration choices
• Decide what to build, buy or partner on, with engineers in the room
• Turn the best team-level AI solutions into something the whole business can safely use
• Work with risk and security so the business moves fast and stays in control
• Be judged on real adoption and business impact, not how many tools you launched

WHO WE WANT TO MEET

• 15+ years, mostly hands-on (ML, data science or data-adjacent engineering) before moving into leadership
• Still hands-on within the last 3 to 5 years, and able to hold your own with senior engineers
• Rolled out GenAI or agent solutions at scale in a large, highly regulated, complex environment
• Built strong teams and kept the hiring bar high
• Can explain trade-offs to execs, engineers and risk teams equally well
• Uses AI tools daily and keeps up with how fast the space moves

WHO THIS ISN’T FOR

• Careers built on strategy, governance, CoE or delivery coordination
• Side-project apps and weekend builds. Everyone has one. We want production experience.