Staff Software Engineer, Group AI Enablement

Commonwealth Bank

. Shape the architecture and engineering approach for enterprise AI capabilities .

Posted 11/12/2026full-timeSydney • AustraliaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable AI solutions, integrating generative AI capabilities, and leading technical discussions while mentoring engineering teams. Proficient in cloud engineering, automated testing, and establishing robust software architectures.

Highest-signal resume keywords

Generative AI IntegrationCloud Engineering (AWS/Azure)API DevelopmentAutomated Testing & CI/CDTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptC#API DevelopmentDistributed SystemsInfrastructure-as-CodeObservabilityDevSecOpsAI EvaluationSoftware Architecture

Soft Skills

MentoringInfluencing Without AuthorityCuriosity About Emerging TechnologySound Engineering JudgementProduct Mindset

Industry Keywords

Enterprise AIProduction SoftwareIntegration PatternsData Access ControlsQuality EvaluationOperational OwnershipEngineering StandardsBusiness Stakeholder EngagementTechnical Due DiligenceScalable Software

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsPythonTypeScript

About the role

Key responsibilities & impact

Shape the architecture and engineering approach for enterprise AI capabilities
Design, build and review production software, integrations and shared services
Build reusable components, integration patterns and reference implementations for AI adoption at scale
Evaluate AI tools, models and platforms through experimentation and technical due diligence
Connect AI capabilities with enterprise systems and knowledge sources
Design identity, permissions and data access controls
Establish repeatable approaches to evaluating AI solutions across quality, groundedness, safety, latency and cost
Build secure, production-ready solutions with observability, automated delivery, operational ownership and resilience
Lead technical discussions and review designs and code
Mentor engineers and raise engineering standards across teams
Partner with engineers, product leaders, Business Unit technology teams and control functions
Turn real business problems into practical technical solutions

Requirements

What you’ll need

Experienced software engineer with deep hands-on technical capability and ability to lead through influence
Experience designing, delivering and operating scalable software in complex environments, from initial design through production
Experience providing technical leadership across teams and influencing architecture and engineering decisions without formal authority
Experience building or integrating generative AI capabilities, including retrieval-augmented generation, enterprise assistants, tool use or agentic systems
Strong programming skills in Python, TypeScript, C# or comparable modern languages
Experience building APIs and distributed systems
Cloud engineering experience using AWS and/or Microsoft Azure
Experience with modern infrastructure-as-code approaches
Experience with automated testing, CI/CD, observability, DevSecOps and production reliability
Experience evaluating AI systems for quality, safety, failure modes, performance and cost
Experience working directly with users, product teams and business stakeholders
Experience mentoring engineers and improving engineering practices
Curiosity about emerging AI technology, sound engineering judgement and a product mindset

Benefits

Comp & perks

Flexible workplace
Inclusive and respectful workplace
Opportunities to contribute, learn and grow
Accessibility support available through HR Direct