In-Demand Architect ai/ml Jobs in Sydney, Nsw

AI LLM Architect
Accenture —Sydney NSW
- Full-time
- Master's degree
- Education
- Bachelor's degree
- On-the-job training
- Parental leave
Senior Databricks & AI Architect
Delivery Centric Technologies —Sydney NSW
- Full-time
- Master's degree
- SQL
- In-person
Quick Apply
1d
AI Solutions Architect
World Wide Technology Holding, LLC —Sydney NSW
- Full-time
- Azure
- Computer Science
- Engineering
- Profit sharing
- Wellness program
AI Architect - Databricks
Unison Group —Sydney NSW
- Contract
- Azure
- Master's degree
- SQL
Quick Apply
Security Architect - Cloud and AI
Deloitte —Sydney NSW
- Azure
- AWS
- AI
- Parental leave
8h
Specialist Solutions Architect - Amazon Connect, Applied AI Solutions
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- AWS
- AI
13d
Product Manager (Data)
Duxxel Pty Ltd —Sydney NSW
- From $120,000 a year
- Contract
- Hybrid work
- Azure
- AWS
- Analysis skills
Quick Apply
Senior Infrastructure Engineer
Propeller —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Parental leave
Quick Apply
Senior Data & AI Cloud Architect, AWS Professional Services FSI, AWS Professional Services FSI
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- SQL
- AWS
- Bachelor's degree
13d
Senior Solution Architect (Pre-Sales)
OutSystems —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Education
- Bachelor's degree
- Health insurance
- Annual leave
Senior Forward Deployed AI Engineer
NTT DATA —Sydney NSW
- Full-time
- Azure
- DevOps
- Master's degree
7d
Senior Forward Deployed AI Engineer
SoftwareOne —North Sydney NSW
- AI
Lead Data Scientist
Infosys Singapore & Australia —Sydney NSW
- Full-time
- Hybrid work
- Azure
- SQL
- AI
Quick Apply
Staff Software Engineer . NET, Full Stack
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- APIs
- AI
9d
Sr. Specialist, Data foundations ANZ, WWSO Data APJC
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- DevOps
- Engineering
3d
Director, Support Field Delivery, APJC, AWS Enterprise Support Support
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Bar
- Engineering
- Master's degree
Lead Forward Deployed Engineer
PALO IT —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Systems design
- AWS
Quick Apply
Manager, Customer Solutions Management, ANZ
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- AI
- Leadership
Senior Partner Development Specialist - Connect, ANZ Partner
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Sales
- Business development
- AWS
Senior AWS Data Engineering Specialist
Deloitte —Sydney NSW
- Salesforce
- SQL
- AWS
- Parental leave

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AI LLM Architect

Accenture -
Sydney NSW

Apply Now

Job Details

Full-time

Benefits

On-the-job training
Parental leave

Qualifications

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

Full Job Description

YOU ARE

As an experienced and Senior AI/LLM Architect, you will play a pivotal role in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems spanning classical machine learning, generative AI, and agentic systems ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards. Within this scope, you will take deep ownership of one or more critical architecture domains such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference serving as the lead authority in your domain across client engagements.

THE WORK

Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.

Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.

Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.

Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.

Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.

Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.

Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.

Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.

Design and implement the context layer—spanning knowledge graphs, vector search, and semantic retrieval—to create reliable, grounded RAG pipelines.

Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.

Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.

Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.

Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.

Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.

Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel

Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.

Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.

Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).

Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.

Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Minimum of 2 years of experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Minimum of 2 years of experience in the Agentic, LLM and Generative AI space.

Minimum of 4 years of coding experience using python

Minimum of 2 years of experience architecting and operationalizing LLM driven application architecture patterns.

Minimum of 4 years in coding engineering, machine learning, deep learning and NLP solutions and applications.

Minimum of 4 years of experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.

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

architect ai/ml jobs in sydney, nsw

AI LLM Architect

Senior Databricks & AI Architect

AI Solutions Architect

AI Architect - Databricks

Security Architect - Cloud and AI

Specialist Solutions Architect - Amazon Connect, Applied AI Solutions

Product Manager (Data)

Senior Infrastructure Engineer

Senior Data & AI Cloud Architect, AWS Professional Services FSI, AWS Professional Services FSI

Senior Solution Architect (Pre-Sales)

Senior Forward Deployed AI Engineer

Senior Forward Deployed AI Engineer

Lead Data Scientist

Staff Software Engineer . NET, Full Stack

Sr. Specialist, Data foundations ANZ, WWSO Data APJC

Director, Support Field Delivery, APJC, AWS Enterprise Support Support

Lead Forward Deployed Engineer

Manager, Customer Solutions Management, ANZ

Senior Partner Development Specialist - Connect, ANZ Partner

Senior AWS Data Engineering Specialist

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