Director, AI Solution Patterns & Applied Engineering

Colonial First State; Council of the City of Sydney; On-site; AUD 220,000 - 300,000; Full time

Benefits offered by this job

Employer Super

Discounts on financial services

24/7 confidential support

Birthday leave

Life Leave

Retail discounts

Job summary

Colonial First State (CFS) is seeking a Director, AI Solution Patterns & Applied Engineering based in Sydney. You will own engineering patterns, standards and reusable capabilities to turn AI strategy into scalable delivery across the SDLC.

You will lead the adoption of AI across projects, establish AI engineering standards, and build enterprise agent frameworks to accelerate delivery. This role requires senior technical leadership and cross-functional influence within a large enterprise.

Qualifications

• Extensive software engineering and delivery experience in large enterprise environments.
• Experience delivering production AI, GenAI or agent-based solutions.
• Experience embedding AI across the SDLC, including design, development and testing.

Responsibilities

• Develop and maintain enterprise AI reference architectures and reusable patterns.
• Partner with engineering teams to embed AI standards and reusable components.
• Lead adoption of AI across the SDLC to improve productivity and automation.
• Establish AI engineering standards and reusable frameworks.
• Build and maintain enterprise agent frameworks and libraries.
• Define agent orchestration, testing and observability approaches.
• Provide technical leadership to engineering and delivery teams.
• Support strategic initiatives with AI engineering expertise.

Skills

AI patterning

Azure/AWS cloud

SDLC integration

AI engineering standards

leadership

stakeholder engagement

cloud-native development

Tools

Azure AI Foundry

AWS Bedrock

Job description

Sydney, NSW, Australia

Job Description

Are you ready to be part of an organisation that values expertise, passion and diversity? At CFS we know that the foundation of our success lies in our exceptional people. We believe in celebrating individuality, have a passion for high performance and creating an environment where you can unleash your full potential. Our people enable us to make a difference and deliver exceptional experiences to help our customers achieve financial freedom.

Your Team

The Director, AI Solution Patterns & Applied Engineering is part of CFS’s AI and Data business unit which is accountable for CFS’s Data and AI strategy, governance, platforms and enablement.

As Director, AI Solution Patterns & Applied Engineering, you will be responsible for owing the engineering patterns, standards and reusable capabilities that turn AI strategy into scalable delivery.

Your Responsibilities

• Develop and maintain enterprise AI reference architectures, reusable solution patterns and shared AI capabilities.
• Partner with engineering teams to embed AI standards, reusable components and best-practice delivery approaches.
• Lead the adoption of AI across the Software Development Lifecycle (SDLC), improving developer productivity, testing and automation.
• Establish engineering standards for AI applications, AI agents, prompt engineering and RAG solutions.
• Build and maintain enterprise agent frameworks, libraries and reusable assets that accelerate delivery.
• Define approaches for agent orchestration, evaluation, testing, monitoring and observability.
• Provide technical leadership, coaching and guidance to engineering and delivery teams.
• Support strategic initiatives through solution design, technical problem solving and AI engineering expertise.

Your Capability and Experience

• Extensive software engineering and delivery experience within large enterprise environments, including cloud-native application development on Azure and/or AWS.
• Proven experience delivering production AI, GenAI or agent-based solutions, with hands-on experience across enterprise AI platforms such as Azure AI Foundry, AWS Bedrock, or equivalent technologies.
• Experience embedding AI across the Software Development Lifecycle (SDLC), including design, development, testing, deployment, evaluation
• Experience establishing AI engineering standards, reusable frameworks, reference implementations and delivery patterns that accelerate enterprise-wide adoption.
• Strong stakeholder engagement across delivery, engineering and architecture teams.
• Proven ability to bridge architecture and delivery, scaling enterprise AI capabilities and embedding AI across the SDLC.
• Experience industrialising AI delivery through reusable platforms, frameworks, and patterns that accelerate adoption and reduce duplication across the enterprise.

What to Expect

At CFS, you'll be working among the very best in the wealth management industry. It's an inspiring environment that encourages development and celebrates success. Other things to look forward to:

• Access to CFS Employer Super, which offers an expansive investment menu and flexible insurance solutions
• Support with financial services, including discounts on home loans and daily bank accounts through our partnership with a leading financial institution
• Access to 24/7 confidential support covering safety, medical and mental health services
• Additional leave day to celebrate your birthday
• Life Leave - 3 days per annum to focus on your wellbeing or celebrate a special event
• Exclusive discounts on retail, travel and entertainment

CFS Culture

At CFS we are committed to creating a thriving environment where individuals can flourish. We believe that success is built upon strong teams, and we are dedicated to celebrating uniqueness, championing individuality and supporting a diverse and inclusive workforce. We believe that when you can truly be yourself, you can unlock your full potential.

Apply today and join us in helping Australians to achieve their financial freedom.

Please note, CFS requires all candidates to have full work rights in Australia.

Where we have preferred candidates, background checks (including Police, Employment, Bankruptcy checks, ASIC banned and disqualified persons) will be completed prior to the final preferred candidate’s employment being confirmed. The outcomes of the background checks do not preclude the preferred candidate, however, they will be assessed against the inherent requirements of the role.

This role is based on Gadigal Land (Sydney).

Job Info

• Job Identification 4157
• Job Category Information Technology
• Job Schedule Full time
• Locations 400 George Street, Sydney, NSW, 2000, AU