Principle Engineer | AI-Augmented Engineering Systems

Job Description:

As a Principal Engineer, you will operate as one of the organisation's most senior individual contributors, helping define the future of software engineering through AI-enabled development practices and platforms.


Responsibilities include:

• Designing and building AI-powered engineering platforms, tools, frameworks, and developer workflows
• Creating scalable solutions that enable safe, secure, and effective AI-assisted software development
• Driving AI adoption across engineering teams through technical leadership, proof of concepts, and best-practice guidance
• Establishing engineering standards relating to AI governance, security, code quality, and software delivery
• Building developer tooling, automation frameworks, guardrails, and internal engineering capabilities
• Evaluating emerging technologies, AI platforms, and engineering tools to support strategic objectives
• Developing metrics, telemetry, and measurement frameworks to improve engineering effectiveness
• Building prototypes and technical proofs of concept that reduce risk and accelerate innovation
• Collaborating with senior technical stakeholders across engineering, product, and delivery teams
• Mentoring senior engineers and contributing to architectural decision-making through influence rather than authority

This is a hands-on technical leadership role with no direct people management responsibilities, offering significant influence over engineering practices, architecture, developer experience, and AI adoption across a large technology organisation.


Skills & Experience:

• Minimum 10+ years of software engineering experience in senior, staff, principal, or equivalent engineering roles
• Deep expertise in at least two of the following technologies:
• Java
• .NET
• React
• Flutter
• Strong understanding of cloud-native architecture and distributed systems
• Experience with AWS, microservices, API design, event-driven architecture, and CI/CD practices
• Hands-on experience building developer platforms, engineering tooling, internal frameworks, or AI-driven systems
• Experience working with Large Language Models (LLMs), prompt engineering, AI agents, retrieval systems, evaluation frameworks, and AI governance
• Strong software architecture and systems design capabilities
• Ability to solve ambiguous, large-scale technical challenges
• Excellent communication and stakeholder engagement skills
• Ability to drive technical change through influence and expertise
• Experience in complex, high-scale technology environments would be advantageous

Qualification:

• Bachelor's or Master's Degree in Computer Science, Software Engineering, Engineering, or a related field

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