Engineering Manager - AI Enablement

Commonwealth Bank; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

Commonwealth Bank’s AI Enablement Crew is shaping a fast-moving software factory for Business Banking Technology. You’ll help two senior squads turn ambiguous AI problems into running, trusted systems by codifying skills, pipelines and platform features used across squads.

We emphasize leadership by example: carrying technical direction, DevSecOps practices, and delivery readiness while the factory scales beyond business banking and speeds up production with AI-native workflows.

Qualifications

• Strong engineer-first mindset across modern TypeScript, React and Next.js, Node and Python.
• Experience leading engineers in a large, regulated environment while writing code.
• Practical DevSecOps expertise: CI/CD at scale, secure SDLC, SAST/SCA, and container scanning.

Responsibilities

• Lead two senior squads and set technical direction for AI enablement in Business Banking Technology.
• Build and harden AI skills, plugins, and pipelines to scale with the factory while ensuring delivery readiness.

Skills

Full stack TS/React

Node & Python

REST/SOAP

AWS & containers

Tools

GitHub Actions

Snyk

SonarQube

Wiz

Job description

• Take the hardest, most ambiguous problems from a vague ask to a running system
• Stay ahead of the tooling. Evaluate new models, agents and developer tools quickly and honestly, and turn what works into repeatable practice
• Review code, architecture and AI-generated output with rigour, and set the standard for how engineers decompose work, write specs and tests, and verify agent output

Do work that matters

The AI Enablement Crew exists to make every engineer in Business Banking Technology faster and safer with AI. We build and run an agentic software factory: a marketplace of Claude Code plugins and skills, an incubator-to-marketplace release pipeline with an evaluation harness and LLM judge, agent session orchestration, and a delivery control tower that sits on top of Jira and Confluence and answers "is anything red this week?" at a glance. The first customer journeys rebuilt end to end through the factory are already live in production, and more than ten squads use our skills, dashboards and guardrails every day.

Around that sits everything that makes a bank's software factory trustworthy: shift-left penetration testing and guardrails, Snyk, Wiz and SonarQube gates, production safeguards, non-functional testing and SRE readiness, feature-flag control and automated SDLC evidence. We also work closely with the Group's AI Powered Engineering (AIPE) function and its champions network, so what we learn in Business Banking travels across the bank.

See yourself in our team

We are two senior, fast-moving squads led by the Crew Lead for AI Enablement, working shoulder to shoulder with the engineering leaders of Business Banking's digital platforms. We prototype quickly with AI coding agents, then harden what works into skills, pipelines and platform features that other teams depend on.

The factory is scaling faster than its leaders' calendars. This role exists to share that leadership as a genuine second: to carry the technical direction, DevSecOps ways of working and delivery readiness that today sit with the Crew Lead, and to help the factory scale beyond Business Banking.

We’re interested in hearing from people who have the following

• Are a genuinely strong engineer first: full stack across modern TypeScript, React and Next.js, Node and Python, with REST and SOAP integration and cloud-native delivery on AWS and containers. You still write production code every week and you are proud of it.
• Have led engineers as a Chapter Lead, Engineering Manager, Staff or Principal Engineer or Tech Lead in a large, regulated environment, and still prefer to lead from the code.
• Are a DevSecOps expert in practice, not in slides: CI/CD at scale with GitHub Actions, secure SDLC, SAST, SCA and container scanning (Snyk, Wiz, SonarQube or equivalents), penetration-test engagement, secrets and identity, production safeguards, SLOs and incident readiness.
• Are already AI-native: coding agents such as Claude Code are part of your daily workflow, you have built skills, plugins, MCP servers and evals, you know where agents fail, and you verify output rather than trust it.
• Solve problems for a living: you decompose ambiguity, pick the pragmatic path, ship, and can explain the trade-off to a risk partner and to a graduate engineer in the same hour.
• Is self-directed: you notice what is drifting before anyone asks, pick it up and close it out without being chased. You work without close supervision and you do not create surprises for the people around you.
• Communicate with clarity and warmth: crisp written updates, confident in front of senior leaders, generous with credit and direct with feedback.

Working with us

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