In-Demand Lead agentic ai developer Jobs in Australia

AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
AI Engineer / Data Scientist (Agentic AI) | Associate/Senior Associate
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
Full Stack Developers & Technical Lead
McMahon Services —Greater Adelaide SA
- Full-time
- APIs
- AI
- Leadership
Senior/Tech Lead - AI Development
Datacom —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Software development
Quick Apply
Principal Engineer - Agentic AI
Tyro Payments —Sydney NSW
- On call
- Hybrid work
- Master's degree
- AWS
- APIs
5d
Head of AI, Australia & New Zealand, AWS
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer science
- Sales
- Public speaking
10d
Solutions Architect (AI Native SDLC)
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Master's degree
- AWS
Distinguished Engineer, R&D Lead
Secure Code Warrior —Sydney NSW
- Full-time
- Remote
- Master's degree
- AI
Forward Deployed Engineer
Akka —Remote
- Full-time
- Remote
- Engineering
- Public speaking
- AI
Integration Architect
J4RVIS —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- APIs
- AI
- Work from home
- Parental leave
Quick Apply
Lead Engineer
Zurich Insurance —North Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Parental leave
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
8d
UiPath Engineer (Agentic)
Cognizant —Sydney NSW
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
23h
Senior Technical Architect - Communications, Energy & Utilities
Salesforce —Melbourne VIC
- Full-time
- Salesforce
- No degree
- Agile
Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
11d
Director: Presales Enterprise Architecture (Defence)
NTT DATA —Canberra ACT
- Full-time
- Azure
- Engineering
- AWS
1d
Platform Engineer / Operations Engineer - (ML / AI)
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Vision insurance
- Free food
Quick Apply
Partner Forward Deployed Engineer IV, GenAI, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
Principal Solution Engineer - AI Platform - Hybrid
Flybuys —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Work from home
10d
Principal Technology Product Owner- Gen AI, Responsible AI
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- SQL
- AWS

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AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager

PWC Australia -
Sydney NSW

Apply Now

Job Details

Benefits

Birthday leave
Parental leave

Qualifications

Azure
Law
Full-stack development
Git
Research
Master's degree
Databases
Microservices
Docker
PostgreSQL
RabbitMQ
Natural language processing
Data pipeline
Agile
AI
Communication skills
SDLC

Full Job Description

The AI team is comprised of highly experienced designers, developers, data scientists and analysts who are responsible for delivering digital products and AI solutions to PwC’s business across multiple lines of service in Australia.

We partner with subject matter experts across the business to advise on, design and build agentic AI systems and LLM-powered products that transform the way we deliver assurance, advisory, tax and legal services to our clients.

As an AI Engineer / Data Scientist on our team, you will design, build and evaluate production agentic AI systems, LLM applications that reason, call tools, retrieve knowledge and complete multi-step tasks on behalf of our practitioners and clients. You will own problems end to end: from framing the approach and prototyping, to shipping reliable, observable agents at scale in the Azure cloud.

We are a data science team at heart, so we care deeply about rigour: measuring agent quality, running evaluations, and using the scientific method to know whether something actually works, not just whether it demos well.

Why PwC?

At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health —giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential.

Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future.

What you’ll do:

Building agentic solutions: agents that plan and execute multi-step tasks over long horizons, with context compaction and tool-call repair so they stay reliable and on-budget.

Designing and expanding agent tool ecosystems: file/document operations, sandboxed code and bash execution, web search, and enterprise integrations (e.g. MS Graph) — with well-typed, testable schemas.

Orchestrating multi-agent / sub-agent systems that spawn parallel sub-tasks, coordinate, and report results back to a lead agent.

Building stateful LLM workflows (e.g. LangGraph) for domain pipelines such as research, summarisation and report generation.

Engineering RAG and retrieval pipelines: chunking, embeddings, vector search (pgvector / Azure AI Search), hybrid and re-ranked retrieval, and grounding LLM outputs in trusted sources.

Producing structured, reliable LLM outputs (function calling / Pydantic) and designing robust prompts and agent skills.

Building evaluation harnesses and offline batch evals (including deep-research style runs) to measure accuracy, faithfulness, cost and latency — and using those signals to iterate.

Instrumenting agents with observability and tracing (e.g. Langfuse, OpenTelemetry) and tracking token usage and cost in production.

Routing across multiple models and providers via an enterprise gateway (e.g. LiteLLM) and tuning model selection for quality, latency and cost.

Producing clean, maintainable, efficient code deployed at scale in the Azure cloud; scaffolding new projects, pairing with engineers, and reviewing pull requests.

Contributing to team stand-ups and the broader software development lifecycle, and participating in firmwide data science, ML and AI forums.

Coaching and mentoring junior data scientists and engineers.

What we’re looking for: Applicants must be able to demonstrate the following key capabilities. We do not expect every candidate to tick every box, strong fundamentals and a track record of shipping LLM-powered products matter most.

Core skills:

Strong Python development experience, with hands-on use of modern LLM frameworks and SDKs (e.g. OpenAI / Anthropic SDKs, LiteLLM, LangGraph).

Deep, practical knowledge of prompt engineering, LLM workflows and agentic patterns, tool/function calling, multi-step agents, and structured outputs.

Experience building and optimising RAG pipelines, including evaluation, with industry-standard tooling.

Working knowledge of vector databases such as pgVector and Azure AI Search, plus embeddings and hybrid/semantic search.

Strong experience with SQL databases such as PostgreSQL (or equivalents).

A scientific, evaluation-first mindset: selecting appropriate methods, applying algorithms at scale, and using the scientific method to derive robust, defensible conclusions about model and agent behaviour.

Strong critical thinking, analytical rigour and outstanding attention to detail.

Proper source code management and confident use of Git.

Good written and verbal communication, and the ability to work effectively with remote teams.

A proactive, problem-solving approach and the ability to solve complex problems as part of a team.

Desirable skills:

Experience with LLM observability and cost/quality tracing (e.g. Langfuse, OpenTelemetry).

Experience routing across multiple models/providers (e.g. via LiteLLM or an enterprise gateway) and reasoning about model selection trade-offs.

Experience designing multi-agent / sub-agent systems and agent tool ecosystems (web search, file/document tools, enterprise integrations such as MS Graph).

Experience with computer-use / browser-automation agents (e.g. Playwright).

Knowledge of classical ML (regression/boosting) and deep learning (CNN/RNN), preferably in NLP or CV.

A research background in ML/LLM model development, and the ability to identify emerging techniques and apply them to practical situations.

Experience with microservices, containerisation (Docker), and building/operating data pipelines at scale.

Experience with message-queueing solutions (e.g. RabbitMQ, Kafka).

Experience developing on cloud environments, particularly Azure (Azure OpenAI, AI Search, Blob, Key Vault, App Insights).

Knowledge of agile software development lifecycles (SDLC) and experience on agile projects.

TypeScript / full-stack experience is a strong bonus: much of our agent tooling and UI is built in TypeScript (Vercel AI SDK, NestJS, Next.js / React), and being able to work across the Python and TypeScript stack is highly valued.

What you’ll gain:

The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise.

Work within an inclusive environment committed to Inclusion and Diversity and First Nations Prosperity, ensuring diverse perspectives are at the forefront of our work.

Flexibility means trusting you to choose when, where, and how you work balancing what’s best for you, your team, and your clients to grow and thrive together.

Clear paths for career progression supported by continuous learning and leadership development.

Generous leave entitlements to support your work-life balance - including floating public holidays, birthday leave and ability to purchase additional leave on top of your four weeks.

A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.

We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here.

Ready to grow here and go further? Join PwC Australia as a [Job Title] and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future.

We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic and to maintaining a safe, respectful workplace for everyone. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role.

No agencies please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications directly from individuals.

Apply Now

Refine Your Search

lead agentic ai developer jobs in australia

AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager

AI Engineer / Data Scientist (Agentic AI) | Associate/Senior Associate

Full Stack Developers & Technical Lead

Senior/Tech Lead - AI Development

Principal Engineer - Agentic AI

Head of AI, Australia & New Zealand, AWS

Solutions Architect (AI Native SDLC)

Distinguished Engineer, R&D Lead

Forward Deployed Engineer

Integration Architect

Lead Engineer

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

UiPath Engineer (Agentic)

Senior Technical Architect - Communications, Energy & Utilities

Forward Deployed Engineering Manager, Gen AI

Director: Presales Enterprise Architecture (Defence)

Platform Engineer / Operations Engineer - (ML / AI)

Partner Forward Deployed Engineer IV, GenAI, Google Cloud

Principal Solution Engineer - AI Platform - Hybrid

Principal Technology Product Owner- Gen AI, Responsible AI

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