In-Demand Stack developer Jobs in Westmead, Nsw

AI LLM Senior Engineer
Accenture —Sydney NSW
- Full-time
- Master's degree
- Education
- Bachelor's degree
- On-the-job training
- Parental leave
Software Engineer II
Microsoft —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Engineer
TJX Australia —Mascot NSW
- Full-time
- Azure
- Oracle
- Customer service
Guidewire Senior Consultant / Technical Lead – Policy Center
Accenture —Sydney NSW
- Full-time
- Scripting
- APIs
- AI
- On-the-job training
- Parental leave
Staff Gen AI Engineer, Forward Deployed, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
Senior Platform Engineer (Terraform | AWS)
ClearRoute —Sydney NSW
- Hybrid work
- Management
- AWS
- Profit sharing
- Employee assistance program
Luxury Cruise Specialists
Firstclass.com.au —Sydney NSW
- Part-time
- Hybrid work
- Microsoft Excel
- Sales
- Customer service
- Opportunities for advancement
- Referral program
Senior Java Engineer
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Software development
- APIs
- Annual leave
- Work from home
Luxury Cruise Team Manager
Firstclass.com.au —Parramatta NSW
- Part-time
- Hybrid work
- Microsoft Excel
- Sales
- Customer service
- Opportunities for advancement
- Referral program
Sales Instructor / Trainer (B2B/Tech, confident with AI)
Skills Union —Sydney NSW
- Microsoft Word
- CRM software
- Management
Quick Apply
Principal Software Engineer – Backend Platforms & Service Domains
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- APIs
- AI
14d
Executive Assistant - Travel & Business Operations
Firstclass.com.au —Sydney NSW
- Part-time
- Hybrid work
- Microsoft Excel
- Sales
- Customer service
- Opportunities for advancement
- Referral program
Staff AI Platform Engineer
Relevance AI —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Parental leave
- Employee assistance program
Senior Java Full Stack Developer - Market Risk Technology | Investment Bank
The Argyle Network —Sydney NSW
- $850,900 a year
- Full-time
- DevOps
- AWS
- Software development
Site Reliability Engineer
Audinate Pty Ltd —Sydney NSW
- Full-time
- Management
- AWS
Senior Software Engineer - Fullstack (Java | AI) Hybrid — Full time Sydney
Objective —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Program Tech Lead - AI & Digital Platform (Google Cloud)
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Parental leave
Quick Apply
5d
Principal Engineer
Portable —Sydney NSW
- $138,000 - $190,000 a year
- Hybrid work
- Azure
- AWS
- AI
- Profit sharing
- Parental leave
Quick Apply
Senior Product Data Engineer
Gridsight —Sydney NSW
- Full-time
- Hybrid work
- AWS
Quick Apply
Lead Systems Engineer
EPAM Systems, Inc. —Sydney NSW
- Azure
- Writing skills
- DevOps
7d

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AI LLM Senior Engineer

Accenture -
Sydney NSW

Apply Now

Job Details

Full-time

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

stack developer jobs in westmead, nsw

AI LLM Senior Engineer

Software Engineer II

Senior Engineer

Guidewire Senior Consultant / Technical Lead – Policy Center

Staff Gen AI Engineer, Forward Deployed, Google Cloud

Senior Platform Engineer (Terraform | AWS)

Luxury Cruise Specialists

Senior Java Engineer

Luxury Cruise Team Manager

Sales Instructor / Trainer (B2B/Tech, confident with AI)

Principal Software Engineer – Backend Platforms & Service Domains

Executive Assistant - Travel & Business Operations

Staff AI Platform Engineer

Senior Java Full Stack Developer - Market Risk Technology | Investment Bank

Site Reliability Engineer

Senior Software Engineer - Fullstack (Java | AI) Hybrid — Full time Sydney

Program Tech Lead - AI & Digital Platform (Google Cloud)

Principal Engineer

Senior Product Data Engineer

Lead Systems Engineer

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