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Principal Software Engineer – Group AI Enablement
Commonwealth Bank. Define the long-term engineering strategy and architecture for enterprise AI capabilities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining engineering strategies and architectures for enterprise AI capabilities, with a strong focus on building cloud-native systems and integrating AI models. Proven ability to lead complex engineering initiatives, mentor technical teams, and translate cybersecurity and Responsible AI requirements into practical engineering solutions.
Highest-signal resume keywords
Engineering LeadershipCloud-Native System DesignAWS or Microsoft Azure ExperiencePython, TypeScript, or C# ProficiencyDevSecOps and CI/CD Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringArchitectural JudgementDistributed Systems DesignAI Model IntegrationRetrieval-Augmented Generation SolutionsAgentic Systems DevelopmentInfrastructure as CodeAutomated TestingObservabilityOperational Resilience
Soft Skills
MentoringInfluencing StakeholdersCuriosity for Emerging Technologies
Tools & Technologies
LlamaIndexLangChainCI/CD ToolsCloud Platforms
Industry Keywords
Responsible AICybersecurityRisk ManagementOperational OwnershipBusiness Integration Patterns
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityPythonTypeScript
About the role
Key responsibilities & impact- Define the long-term engineering strategy and architecture for enterprise AI capabilities
- Shape integration patterns for AI models, agents, knowledge sources and business systems
- Lead complex engineering initiatives from discovery and experimentation through production
- Build reusable services, reference implementations and engineering patterns covering identity, permissions, observability and operational ownership
- Establish rigorous evaluation approaches for RAG and agentic systems using representative business tasks and measurable success criteria
- Translate cybersecurity, privacy, risk and Responsible AI requirements into practical engineering controls
- Remain hands-on through prototyping, software design and review, technical investigations and resolution of critical production challenges
- Mentor senior technical practitioners and influence engineering decisions across organisational boundaries
- Work with product leaders, Staff Engineers, technology teams and enterprise partners to establish technical direction and solve complex engineering challenges
Requirements
What you’ll need- Experienced engineering leader with strong architectural judgement and deep hands-on software engineering capability
- Experience leading complex engineering initiatives across multiple teams, platforms and stakeholders
- Experience designing distributed, cloud-native systems and enterprise integration patterns
- Strong AWS and/or Microsoft Azure experience
- Experience building retrieval-augmented generation solutions using LlamaIndex, LangChain or comparable frameworks, including ingestion, retrieval, grounding, permissions and evaluation
- Experience designing or building agentic systems involving tool use, orchestration, state management, human approval and failure recovery
- Strong software engineering capability using Python, TypeScript, C# or comparable modern languages
- Experience with DevSecOps, infrastructure as code, automated testing, CI/CD, observability and operational resilience
- Experience evaluating AI systems across quality, safety, latency, reliability and cost
- Experience working with product and business stakeholders to connect engineering decisions with measurable customer, employee or productivity outcomes
- Experience influencing senior stakeholders and mentoring experienced engineers without relying on formal authority
- Curiosity for emerging AI technology and a practical approach to experimentation
- Ability to test new technologies, understand their limitations and determine readiness for enterprise-scale use
Benefits
Comp & perks- Accessible, inclusive and respectful workplace
- Workplace support or adjustments for applicants who require them
- Career development opportunities implied through internal career support