In-Demand Software engineer machine learning Jobs in Parramatta, Nsw

Director AI Engineering
MinterEllison —Sydney NSW
- AI
14d
Product Manager, Data Products
HUB24 —Sydney NSW
- Full-time
- Hybrid work
- Management
- Machine learning
- Product management
- Parental leave
Talent Acquisition Lead
ResMed —Sydney NSW
- Full-time
- No degree
- Recruiting
- AI
9d
Senior Account-Based Marketing Manager
ServiceNow —Sydney NSW
- Full-time
- Hybrid work
- CRM software
- Sales
- Salesforce
Quick Apply
Regional Sales Manager - Public Sector
Okta —Sydney NSW
- Sales
- Business development
- Bachelor's degree
Site Reliability Engineer, AML Platform - USDS
TikTok USDS JV —Sydney NSW
- On call
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Perception Engineer | Localisation, Sensor Fusion & World Building
Breaker —Sydney NSW
- Full-time
- Machine learning
- AI
Quick Apply
Staff Engineer
MongoDB —Sydney NSW
- On call
- Hybrid work
- Azure
- AWS
- Communication skills
- Health insurance
- Dental insurance
Senior Data & AI Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
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9h
Lead AI Engineer
Bridgit —Sydney NSW
- Remote
- Machine learning
- Construction experience
- AI
- Annual leave
1h
Field Service Engineer
Smiths Detection —Sydney NSW
- Full-time
- Customer service
- Maintenance
- Microsoft Office
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1h

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Director AI Engineering

MinterEllison -
Sydney NSW

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Job Details

14 days ago

Qualifications

Full Job Description

MinterEllison is moving from experimentation to enterprise delivery. We've proven that AI can create value. The challenge now is building the engineering capability, platforms and standards that turn promising ideas into secure, trusted and scalable solutions across a highly regulated, high trust environment. We're seeking an exceptional technology leader to establish and lead our AI Engineering function and Centre of AI Enablement. This is a rare opportunity to shape how AI is engineered, governed and deployed across one of Australia's largest professional services organisations.

The opportunity

Reporting to our Chief AI Officer, you will build and lead the engineering discipline that sits behind MinterEllison's AI strategy.

You will create the platforms, architectures, reusable services, standards and guardrails that enable AI solutions to move from prototype to production and be adopted safely at scale. Importantly, this is not a role focused on delivering individual AI projects.

You will build the pathway that allows teams across the firm to innovate confidently, while ensuring security, governance, quality and responsible AI practices are embedded by design. As a key member of our AI leadership team, you will play a critical role in defining the future of AI across the firm by collaborating closely with Managing Partner of AI and Directors of Technology across the firm.

What you'll do

Build enterprise AI capability

Define and lead the firm's AI engineering strategy, standards and technical direction

Establish a production-grade AI engineering capability that can reliably scale AI solutions

Build and lead a high-performing team of AI engineers and platform specialists

Create the platform for AI delivery

Own the AI platform architecture, including model management, orchestration, retrieval services, evaluation frameworks and reusable components by working closely with key Digital leaders including CISO and Directors of Infrastructure and Technology.

Define engineering patterns that enable AI to be embedded across enterprise and legal technology platforms

Lead decisions on AI tools, models, platforms and strategic technology partnerships

Lead the Centre of AI Enablement

Create a Centre that empowers teams to build by best practices rather than building everything centrally

Develop reference architectures, frameworks, guardrails and reusable assets

Establish self-service capabilities that accelerate adoption across the business

Engineer trusted AI

Build evaluation, monitoring and observability capabilities that ensure AI solutions remain accurate, reliable and secure

Embed responsible AI principles directly into engineering controls and workflows

Partner with Cyber Security, Risk, Governance and Technology leaders to ensure robust safeguards are built into every solution

Enable the future of agentic AI

Develop the foundations required for trusted AI agents, including orchestration, governance, security and identity management

Help shape the firm's future AI architecture and operating model

About you

You are an AI engineering leader who has moved beyond proof-of-concepts and pilots. You have built production AI systems that people depend on and understand what it takes to operate them safely and reliably at enterprise scale. You are equally comfortable discussing architecture with engineers, strategy with executives and governance with risk leaders. Collaboration is key to the success of this role.

You'll likely bring:

Significant experience leading software engineering, AI engineering or machine learning teams

A track record of taking generative AI solutions from concept through to supported production

Experience building platforms, developer enablement functions or shared engineering capabilities

Deep understanding of modern AI architectures, including LLMs, retrieval systems, orchestration frameworks and AI lifecycle operations

Experience establishing engineering standards, governance frameworks and operational excellence practices

Strong stakeholder leadership across technology, data, security, risk and business functions

Experience in regulated or high-trust environments such as professional services, financial services, government, healthcare or similar

Why join MinterEllison?

This is an opportunity to build something foundational. You'll join at a pivotal moment as the firm invests in the next phase of its AI journey. Rather than inheriting a mature function, you'll have the mandate to create the platform, operating model, team and standards that will define how AI is delivered across the organisation for years to come. You'll work alongside senior leaders who recognise the strategic importance of AI and are committed to building trusted, scalable and responsible capabilities that create lasting value for our people and clients.

If you're excited by the challenge of building AI capability at enterprise scale, we'd love to hear from you.

Apply Now

Refine Your Search

software engineer machine learning jobs in parramatta, nsw

Director AI Engineering

Product Manager, Data Products

Talent Acquisition Lead

Senior Account-Based Marketing Manager

Regional Sales Manager - Public Sector

Site Reliability Engineer, AML Platform - USDS

Perception Engineer | Localisation, Sensor Fusion & World Building

Staff Engineer

Senior Data & AI Engineer

Lead AI Engineer

Field Service Engineer

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