In-Demand Senior applied ai engineer Jobs in Melbourne, Vic

Oliver Wyman - Senior Lead AI Engineer - Melbourne
Oliver Wyman —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior AI Consultant
Codex Consulting —Melbourne VIC
- $140,000 - $200,000 a year
- Full-time
- Hybrid work
- Master's degree
- Databases
- AWS
Quick Apply
8d
Applied AI Engineer | Senior Analyst | Tax
Deloitte —Melbourne VIC
- Azure
- Master's degree
- APIs
- Parental leave
4d
Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Melbourne VIC
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
Senior / Staff Applied Scientist - AI Products
Xero —Hawthorn VIC
- Part-time
- Hybrid work
- AI
- Communication skills
5d
Senior Engineer - ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
Deployed Product Manager, Health Systems
Heidi —Melbourne VIC
- $170,000 - $220,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- AI
- Work from home
- Parental leave
Senior Software Developer
Hammertech Global —Melbourne VIC
- Full-time
- Remote
- Computer science
- Analysis skills
- No degree
- Parental leave
- Referral program
Technical Product Manager
Verra Mobility —Melbourne VIC
- Full-time
- Hybrid work
- No experience needed
- Bachelor's degree
- Product management
Quick Apply
Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)
Ember Advisors —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Analysis skills
Quick Apply
Senior Engineer, ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
AI Strategist
Deloitte —Melbourne VIC
- Management
- Master's degree
- AI
- Parental leave
Staff Software Engineer- AI/ML, AI CoE Payments Technology
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- Master's degree
- AWS
5d
Databricks Engineer
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
Engineering Manager - Machine Learning (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Machine learning
- AI
- SDLC
9d
Senior Technical Business Analyst
AustralianSuper —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
1d
Senior Applied AI Engineer
Culture Amp —Preston VIC
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Parental leave

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Oliver Wyman - Senior Lead AI Engineer - Melbourne

Oliver Wyman -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Azure
Computer Science
MCP
Enterprise software
Engineering
SQL
AWS
APIs
Solution architecture
AI
Software architecture

Full Job Description

Company:

Oliver Wyman

Description:

Who we are

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue of $27 billion and more than 95,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.

For more information, visit oliverwyman.com .

The opportunity

We are looking for a senior technology leader who has built and modernized enterprise applications and now applies that engineering foundation to AI-enabled products. You will lead the design and delivery of secure, reliable AI solutions that integrate with real business processes, data and technology estates.

This is an applied engineering role, not a research-science position. Success requires strong software architecture and delivery judgment, practical experience with modern AI capabilities, and the credibility to guide engineers and senior stakeholders from opportunity definition through production adoption.

What you will do

Lead AI solution delivery. Own the technical journey from problem framing and feasibility assessment through architecture, implementation, production release and continuous improvement.

Design for the enterprise. Create pragmatic architectures that connect AI capabilities with existing applications, APIs, data platforms, identity, security and operational controls.

Build and guide hands-on engineering. Develop or review critical components, establish coding and testing standards, and help teams make sound trade-offs across quality, cost, speed and maintainability.

Build production AI systems. Design and implement agentic applications using agentic harnesses, retrieval-augmented generation (RAG), MCP, function/tool calling, structured outputs, and multi-agent workflows where appropriate.
Engineer AI platforms for production. Design inference architectures, model routing, caching, semantic retrieval, vector databases, evaluation pipelines, observability, and cost optimization to support enterprise-scale AI applications.

Make quality measurable. Define evaluation criteria, test sets, observability and feedback loops for accuracy, reliability, safety, latency, cost and business impact.

Embed responsible delivery. Work with security, privacy, risk and legal partners to implement suitable guardrails, human oversight, access controls and auditability.

Partner across disciplines. Collaborate with product owners, business leaders, architects, data specialists and delivery teams to turn priorities into achievable roadmaps.

Raise engineering capability. Mentor engineers, contribute reusable patterns and reference implementations, and help teams adopt effective AI engineering practices.

Communicate with influence. Explain solution options, risks and recommendations clearly to both technical and non-technical stakeholders, including senior client or business leaders.

What you will bring

Typically 10-12 years of professional experience in software engineering, solution architecture, platform engineering or related enterprise technology roles.

A strong record of designing and delivering production enterprise applications, integrations or digital platforms in complex, regulated or security-conscious environments.

Recent hands-on experience implementing AI-enabled solutions, such as agentic applications, retrieval-augmented generation, intelligent workflow automation or machine-learning services.

Strong software engineering fundamentals, including API design, distributed systems, automated testing, version control, CI/CD, observability and secure development practices.

Proficiency in Python and practical experience with at least one enterprise application stack such as Java, .NET or TypeScript/Node.js.

Experience delivering on at least one major cloud platform. Depth in one environment is more important than superficial coverage of AWS, Microsoft Azure and Google Cloud.

Working knowledge of enterprise data integration, SQL, search/retrieval and the handling of structured and unstructured information; specialist data-platform engineering is not required.

Practical understanding of model and application evaluation, prompt and context design, privacy, security, responsible AI controls and production monitoring.

Experience leading technical work across multidisciplinary teams, mentoring engineers and influencing architecture or engineering standards without relying solely on formal authority.

Clear communication, commercial judgment and the ability to translate ambiguous business needs into a feasible technical approach and delivery plan.

Useful but not essential

Consulting, professional services or client-facing technology delivery experience.
Experience in a regulated industry or with enterprise risk, compliance and governance processes.
Familiarity with one or more AI application frameworks (e.g. Langraph, PydanticAI) or model platforms (e.g. Azure Foundry/AWS Bedrock). We value sound engineering decisions over experience with a specific vendor or framework.
Experience operating containerized workloads or collaborating with platform teams using Kubernetes and infrastructure as code.
A degree in computer science, engineering or a related discipline—or equivalent professional experience.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Applications will only be considered from candidates who have the appropriate approval to work in Australia. Successful applicants will be required to complete a Criminal & Bankruptcy check prior to commencing of employment.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Apply Now

Refine Your Search

senior applied ai engineer jobs in melbourne, vic

Oliver Wyman - Senior Lead AI Engineer - Melbourne

Senior AI Consultant

Applied AI Engineer | Senior Analyst | Tax

Senior/Principal Machine Learning Engineer - Aus

Senior / Staff Applied Scientist - AI Products

Senior Engineer - ML Systems (AI Products)

Deployed Product Manager, Health Systems

Senior Software Developer

Technical Product Manager

Data & Analytics Management Consultant (Senior Consultants/Engagement Manager)

Senior Engineer, ML Systems (AI Products)

AI Strategist

Staff Software Engineer- AI/ML, AI CoE Payments Technology

Databricks Engineer

Engineering Manager - Machine Learning (AI Products)

Senior Technical Business Analyst

Senior Applied AI Engineer

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