Lead AI Engineer at Westpac Group

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GenAI Frameworks, LangChain, AutoGen, DSPy, Prompt Engineering, RAG, Agents, Tool Use, Evaluation, Technical Leadership, Solution Design, Code Reviews, Architecture Reviews, Mentoring, MLOps, LLMOps

Industry

Financial Services

Description

Create your best future and join Westpac as a Lead AI Engineer. What’s the role? As a Lead AI Engineer in the GBU CIO team, you’ll uplift AI engineering capability and lead delivery of enterprise-grade AI and GenAI solutions on Westpac’s strategic data platforms. You’ll set technical direction, engineering standards, and coaching so AI is applied safely and effectively across the SDLC for data products. You’ll design and build production-ready agentic and GenAI applications that integrate with our modern cloud data ecosystem—selecting fit-for-purpose patterns (e.g., RAG, tool use, guardrails) and meeting enterprise requirements for security, privacy, reliability, scalability, and cost. Working across squads, you’ll partner with data and platform engineering, product, and risk/governance teams to embed AI into core data products and ways of working. You’ll drive reuse through shared libraries and templates and improve delivery efficiency with AI-assisted development practices. Your key responsibilities include: * Deliver end‑to‑end AI/GenAI solutions from discovery and design through deployment and production support. * Define and evolve reference architectures, standards, and reusable components aligned to the data platform and SDLC. * Build and operationalise GenAI using modern patterns (prompting, RAG, agents) with appropriate guardrails and responsible AI controls. * Integrate AI into enterprise platforms and cloud environments, ensuring performance, security, resilience, and cost‑effective scale. * Uplift engineering capability by embedding MLOps/LLMOps, production readiness, and mentoring across squads. What do I need? Essential: * Strong hands-on experience with GenAI frameworks such as LangChain, AutoGen, DSPy, or similar. * Demonstrated experience delivering production GenAI solutions, including prompt engineering, RAG, agents/tool use and evaluation. * Proven technical leadership in cross-functional teams (e.g., leading solution design, setting standards, performing code/architecture reviews, and mentoring engineers). * Strong experience embedding AI into the SDLC, including CI/CD, automated testing, evaluation, monitoring, and operational support (MLOps/LLMOps). * Strong software engineering capability, particularly in Python, including designing maintainable services, APIs, and libraries. * Strong experience designing and delivering solutions on cloud platforms such as Azure, AWS, or GCP. * Experience with containerisation and deployment technologies such as Docker and Kubernetes. Desirable: * Experience implementing AI/ML solutions in Financial Services, including working within regulated environments. * Experience with streaming/event-driven architectures and real-time AI systems. * Experience contributing to AI governance, model risk, privacy and security controls, and/or internal assurance processes. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/]. #LI-Hybrid.

Responsibilities

The Lead AI Engineer will be responsible for delivering end-to-end AI/GenAI solutions from discovery through production support, while defining reference architectures, standards, and reusable components aligned with the data platform and SDLC. They will also build and operationalize GenAI using modern patterns with appropriate guardrails and responsible AI controls.