Ai Engineering Lead

Mcmillan Shakespeare Limited; Melbourne; Hybrid; AUD 180,000 - 260,000; Full time

Benefits offered by this job

Novated leasing benefits and discounts

12 weeks paid parental leave

Learning and development opportunities

Sonder digital wellbeing platform

Default Income Protection Insurance

Exempt Employee Share Plan

Volunteer leave & Career break

Rewards program

Job summary

MMS is transforming its technology landscape to deliver secure, scalable AI solutions across its Australian brands. You will lead design, development and deployment of AI/ML workflows, build co-pilots and intelligent automation, and drive responsible AI practices within governance and security constraints.

With a focus on collaboration across business and technology teams, you will shape AI strategy, mentor engineers and contribute to a cloud-native, compliant AI platform that powers customer

Qualifications

• Tertiary qualification in Computer Science, Software Engineering, Data Science, AI or related discipline.
• Experience designing and delivering AI/ML/generative AI solutions into production.
• Strong Python and software engineering skills with APIs, testing, source control and CI/CD.
• Experience with cloud AI platforms like Azure AI Foundry/OpenAI is highly regarded.
• Experience with large language models, retrieval-augmented generation, vector search and agent orchestration.
• Understanding of data platforms, security, privacy and integration patterns.
• Knowledge of MLOps, monitoring, observability and cost management.
• Working knowledge of responsible AI and AI governance controls.
• Nice-to-have Snowflake Cortex AI and regulated enterprise experience.

Responsibilities

• Design, build, test and deploy AI solutions aligned to business priorities and approved architecture.
• Develop Co-pilot, AI assistants and intelligent automation to improve outcomes and productivity.
• Translate business problems into AI use cases, requirements, designs and plans.
• Build retrieval-augmented generation, orchestration patterns, APIs and data platform integrations.
• Partner with Data Engineering for data preparation, quality and lineage controls.
• Apply software engineering, DevOps and MLOps practices including CI/CD and observability.
• Collaborate with Cyber Security, Privacy and AI Governance to meet standards.

Skills

Python & API development

CI/CD & DevOps

Cloud AI platforms

Large language models

Data pipelines & security

MLOps & observability

Responsible AI & risk management

Vector search & agent orchestration

Snowflake Cortex AI

Education

Bachelor-level degree in CS/Software/Data AI

Tools

Azure AI Foundry

Azure OpenAI

Microsoft Copilot Studio

Snowflake Cortex AI

Job description

Making a difference isn’t just our purpose, it’s what motivates our people every day. For us, work is not about ticking a box. It’s about knowing that it matters. We make a meaningful difference every day by making it easier for our customers to focus on what matters in their lives.

MMS is embarking on a major multi‑year technology transformation, rebuilding the core digital foundations that power some of Australia’s most recognised employee benefits and salary packaging brands. We’re modernising our platforms end‑to‑end and shifting to cloud‑native, scalable, event‑driven architectures that will set the business up for the future.

As the AI Engineering Lead in our business you will design, develop, deploy and support secure, scalable and responsible AI solutions that deliver measurable business value.

The role combines software engineering, machine learning, generative AI and automation to build AI products, Co‑pilots agents and intelligent workflows. Working across business and technology teams, the AI Engineer translates priority opportunities into production‑ready solutions and supports adoption, monitoring and continuous improvement across the AI lifecycle.

At MMS clear expectations help our people Be the Difference. Your key responsibilities in this role will include:

• Design, build, test and deploy AI, machine learning and generative AI solutions aligned to business priorities and approved architecture.
• Develop Co‑pilot, AI assistants, agents and intelligent automation that improve customer and employee outcomes, productivity and decision‑making.
• Translate business problems into practical AI use cases, technical requirements, solution designs and delivery plans.
• Build retrieval‑augmented generation solutions, prompt and orchestration patterns, APIs and integrations with enterprise applications and data platforms.
• Partner with Data Engineering to source, prepare and manage reliable data for AI solutions, including appropriate quality, access and lineage controls.
• Apply software engineering, DevOps and MLOps practices including version control, automated testing, CI/CD, deployment, observability and support documentation.
• Work with Cyber Security, Privacy, Risk and AI Governance stakeholders to ensure solutions meet organisational policies, standards and regulatory obligations.

To be considered for this role you will have:

• Tertiary qualification in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related discipline, or equivalent practical experience.
• Demonstrated experience designing and delivering AI, machine learning or generative AI solutions into production.
• Strong Python and software engineering skills, including APIs, automated testing, source control and CI/CD practices.
• Experience with cloud AI platforms and services. Azure AI Foundry, Azure OpenAI, Microsoft Co‑pilot Studio or comparable platforms is highly regarded.
• Experience with large language models, prompt engineering, retrieval‑augmented generation, vector search, agent orchestration and evaluation techniques.
• Understanding of modern data platforms, data pipelines, security, identity, privacy and integration patterns.
• Knowledge of MLOps, model and application monitoring, observability, performance optimisation and cost management.
• Working knowledge of responsible AI, AI risk management and controls across the solution lifecycle.
• Experience with Snowflake Cortex AI or similar enterprise data and AI capabilities is desirable.
• Experience working in regulated or complex enterprise environments is desirable.

What we can offer you:

Strong culture and the support of a values‑based recognition program

Novated leasing benefits and discounts

12 weeks paid parental leave

Comprehensive learning and development opportunities to support your career growth

Sonder digital wellbeing platform, providing personalised support 24/7, plus annual flu vaccinations

Default Income Protection Insurance reimbursed for members of the MMS Default Super Fund

Exempt Employee Share Plan

Volunteer leave & Career break

MMS Rewards program

Embracing our value of Everyone Matters we hold a collective commitment to foster an environment where all differences are valued and respected.

We encourage individuals from all backgrounds including Aboriginal and Torres Strait Islander peoples, those caring for someone or living with a disability, LGBTQIA+ and culturally diverse applicants to apply.

We value the skills and attributes veterans can bring to our organisation.

We embrace hybrid working and welcome conversations about flexibility.

Please note all successful candidates will undergo background checks (including criminal history and ASIC checks) and an NDIS Workers Screening Check if appropriate. All information provided will be treated confidentially.

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Custodians of the lands where we live, learn and work.

If you identify as a person living with disability and require adjustments to our recruitment process, please contact us at