In-Demand Principal ai engineer Jobs in Tullamarine Vic

AI LLM Senior Engineer
Accenture —Melbourne VIC
- Full-time
- Master's degree
- Education
- Bachelor's degree
- On-the-job training
- Parental leave
11d
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
Principal Product Security Engineer
MYOB —Melbourne VIC
- Hybrid work
- AI
- Parental leave
Principal Product Security Engineer
Axsys —Melbourne VIC
- AI
- Parental leave
Lead Solutions Engineer, Strategic Accounts
Dynatrace —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Travel reimbursement
- Health insurance
Mid-Senior Software Engineer
Andromeda Robotics —South Melbourne VIC
- Full-time
- Systems design
- Databases
- AI
Quick Apply
Senior Network Engineer, Australia
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- AWS
Staff Software Engineer
Anduril Industries —Melbourne VIC
- Full-time
- Computer Science
- Software troubleshooting
- Systems design
Quick Apply
Principal Solutions Engineer - App Squad - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- Computer science
- No degree
- APIs
- Work from home
14d
Tech Lead
iterate —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- AI
- Leadership
- Parental leave
- Employee assistance program
Quick Apply
7d
Principal Fire Engineer / Consultant
Jensen Hughes —Melbourne VIC
- Research
- AI
- Leadership
6d
Founding Principal Software Engineer
ZBOS Technologies —Melbourne VIC
- Part-time
- Hybrid work
- AWS
- APIs
- AI
Quick Apply
Principal Architect - Domain Frontier Engineer - Telecom
Cognizant —Melbourne VIC
- $100,000 a year
- Full-time
- Hybrid work
- Management
- DevOps
- AWS
2d
Principal Data Engineer
Medibank —Docklands VIC
- Azure
- DevOps
- SQL
11d
Principal Software Engineer
Victorian Government —Melbourne VIC
- $142,790 - $191,084 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
7d
Senior Staff Software Engineer (AI Team)
splose —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Databases
- AWS
Quick Apply
11d
Chief Nursing Information Officer (CNIO)
The Royal Children's Hospital —Parkville VIC
- Up to $11,500 a year
- Full-time
- Nursing
- Patient monitoring
- Master's degree
- Employee assistance program
- Gym membership
6d
Senior Principal Engineer, Product Platform Engineering
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- APIs
- AI
4d
Lead Engineer - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- No degree
- APIs
- AI
- Work from home
14d
Chief Nursing Information Officer
Victorian Government —Melbourne VIC
- $185,739 a year
- Full-time
- Nursing
- Patient monitoring
- Master's degree
- Employee assistance program
- Gym membership
6d

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AI LLM Senior Engineer

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time
11 days ago

Benefits

On-the-job training
Parental leave

Qualifications

Law
Architecture
Master's degree
Education
Bachelor's degree
Machine learning
AI

Full Job Description

As a hands-on AI/LLM Engineer, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role, you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability.

You will design and build AI agent architectures including multi-agent orchestration, tool use, skills use, and memory systems and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration.

A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business.

You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components building, integrating, and testing AI system modules as a practitioner alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.

You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.

THE WORK

Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands-on practitioner

Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices

Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping

Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability

Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements

Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs

Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization

Design and build the AI context layer — including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge

Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources

Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs

Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements

Design for cost efficiency and performance — optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives

Design, build, and validate systems against enterprise non-functional requirements — implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI

Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable

Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutions remain healthy, performant, and scalable in production

Produce detailed architecture artifacts — including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams — that guide and enable broader engineering teams

Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability

Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Minimum of 3 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor as an AI/ML architect.

Minimum of 1 year of experience in the Agentic, LLM and Generative AI space.

Minimum of 1 year of experience architecting and operationalizing LLM driven application architecture patterns.

Minimum of 3 years in coding and engineering, machine learning, deep learning and NLP solutions and applications. Minimum of 2 years of coding experience using python

Benefits of working at Accenture:

18 weeks paid parental leave
Long & short-term career break opportunities
Structured career development program
Local and international career opportunities.
Certified as a Family Inclusive Workplace™
Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!

We are a WORK180 Endorsed Employer, to see our benefits and policies click here

All our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You’ll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is a an EEO and Affirmative Action Employee of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity Statement for Australia:

At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.

Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email [email protected] and cite the relevant Job Number, or contact us on +61 2 9005 5000.

To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

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Apply Now

Refine Your Search

principal ai engineer jobs in tullamarine vic

AI LLM Senior Engineer

Senior Principal Product Manager

Principal Product Security Engineer

Principal Product Security Engineer

Lead Solutions Engineer, Strategic Accounts

Mid-Senior Software Engineer

Senior Network Engineer, Australia

Staff Software Engineer

Principal Solutions Engineer - App Squad - Hybrid

Tech Lead

Principal Fire Engineer / Consultant

Founding Principal Software Engineer

Principal Architect - Domain Frontier Engineer - Telecom

Principal Data Engineer

Principal Software Engineer

Senior Staff Software Engineer (AI Team)

Chief Nursing Information Officer (CNIO)

Senior Principal Engineer, Product Platform Engineering

Lead Engineer - Hybrid

Chief Nursing Information Officer

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