AI Engineering Lead

McMillan Shakespeare (MMSG); Melbourne; Hybrid; AUD 150,000 - 190,000; 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

Income Protection Insurance

Exempt Employee Share Plan

Volunteer leave & Career break

MMS Rewards program

Job summary

McMillan Shakespeare (MMSG) is undergoing a major technology transformation and seeks an AI Engineering Lead to design, develop, deploy and support secure AI solutions that deliver measurable business value. You will work across software engineering, ML and automation to build AI products, Co-pilots and intelligent workflows.

The role involves translating business problems into practical AI use cases, collaborating with cross-functional teams and ensuring production-ready delivery with robust

Qualifications

• Tertiary qualification in Computer Science, Software Engineering, Data Science, Artificial Intelligence or related discipline, or equivalent practical experience.
• Demonstrated experience designing and delivering AI, ML, 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 such as Azure AI Foundry or Azure OpenAI.
• Experience with large language models, retrieval-augmented generation, vector search, and agent orchestration.

Responsibilities

• Design, build, test and deploy AI, ML and generative AI solutions aligned to business priorities and approved architecture.
• Develop Co-pilot, AI assistants, agents and intelligent automation to improve outcomes and productivity.
• Translate business problems into practical AI use cases, requirements, designs and delivery plans.
• Build retrieval-augmented generation solutions, orchestration patterns, APIs and integrations with enterprise data platforms.
• Collaborate with Data Engineering to source, prepare and manage reliable data with quality and lineage controls.
• Apply software engineering, DevOps and MLOps practices including version control, automated testing, CI/CD and observability.
• Work with Cyber Security, Privacy, Risk and AI Governance teams to meet policies and regulatory obligations.

Skills

Python

APIs

CI/CD

ML/Generative AI

Data platforms

Azure AI

MLOps

Responsible AI

Security & Compliance

Education

Tertiary qualification in Computer Science/Software Engineering/Data Science/AI or related discipline

Tools

Azure AI Foundry

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 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 [e-mail]