2 weeks ago

Staff Engineer Chapter Lead – Generative AI

Commonwealth Bank

Sydney

2 weeks ago

Apply

Staff Engineer Chapter Lead for Generative AI at CommSec, part of Commonwealth Bank Group, driving AI-powered transformation in financial services. Requires deep expertise in software/data engineering, MLOps, and GenAI, with leadership experience to grow high-performing engineering teams. Hands-on role building production-grade GenAI platforms and setting enterprise standards.

AI-enabledOn-siteFull-timePrincipalPythonLangChain

Staff Engineer Chapter Lead – Generative AI

Apply

AI-enabledOn-siteFull-timePrincipalPython

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Staff Engineer / Chapter Lead

Core Qualifications

Technical (Must-have)

PythonLangChainLangGraphLlamaIndexAutoGenRAGModel EvaluationPineconeWeaviateOpenSearchMLOpsAWSCloudFormationCDKTerraformDockerKubernetesGitHub ActionsGitLab CIJenkinsEvidently AIDatadogPrometheusGrafanaPagerDutyCloudWatchAI/ML system securityAI governance frameworks

Soft Skills

LeadershipMentoringCommunicationInfluenceProblem SolvingAutonomyPsychological SafetyConstructive ChallengeTechnical ExcellenceInclusionOwnership

Key Responsibilities

•Build and scale production-grade GenAI platforms (LLMs, RAG, agentic workflows) by creating reusable frameworks and integrating them into existing enterprise systems
•Lead engineers to make pragmatic architecture decisions and align delivery with real-world business problems
•Translate advanced ML and NLP capabilities into deployable solutions by guiding teams through design trade-offs (latency, cost, accuracy)
•Establish end-to-end AI quality and safety practices (evaluation frameworks, LLM observability, bias/risk controls)
•Lead teams to adopt data-driven validation approaches, embedding accountability and engineering rigor
•Drive strong DevSecOps maturity (CI/CD, IaC, automated testing, monitoring, cost optimisation) by setting engineering standards
•Enable teams to ship reliably at scale and coach them on production ownership including on-call and incident response
•Champion automation-first engineering culture across the AI lifecycle
•Lead, mentor, and grow high-performing engineering teams by fostering autonomy, psychological safety, and constructive challenge
•Communicate effectively with senior stakeholders by translating complex AI concepts into clear trade-offs

Generative AIMLOpsStaff EngineerChapter LeadFinancial ServicesPythonAWSKubernetesLeadershipSydney

Core Qualifications

Technical (Must-have)

Soft Skills

LeadershipMentoringCommunicationInfluenceProblem SolvingAutonomyPsychological SafetyConstructive ChallengeTechnical ExcellenceInclusionOwnership

Key Responsibilities

•Build and scale production-grade GenAI platforms (LLMs, RAG, agentic workflows) by creating reusable frameworks and integrating them into existing enterprise systems

•Lead engineers to make pragmatic architecture decisions and align delivery with real-world business problems

•Translate advanced ML and NLP capabilities into deployable solutions by guiding teams through design trade-offs (latency, cost, accuracy)

•Establish end-to-end AI quality and safety practices (evaluation frameworks, LLM observability, bias/risk controls)

•Lead teams to adopt data-driven validation approaches, embedding accountability and engineering rigor

•Drive strong DevSecOps maturity (CI/CD, IaC, automated testing, monitoring, cost optimisation) by setting engineering standards

•Enable teams to ship reliably at scale and coach them on production ownership including on-call and incident response

•Champion automation-first engineering culture across the AI lifecycle

•Lead, mentor, and grow high-performing engineering teams by fostering autonomy, psychological safety, and constructive challenge

•Communicate effectively with senior stakeholders by translating complex AI concepts into clear trade-offs