Job Description

Our Why

Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow.

About the Role (your why)

Software delivery is changing — fast. The teams that will define the next decade of engineering aren’t just writing code; they’re orchestrating AI agents, deterministic tooling, and human judgement into delivery pipelines that move from specification to production at a pace that was impossible two years ago.

As Agentic Engineer Lead at Datacom, you’ll lead a squad that operates this way every day. You’ll translate product outcomes into machine-executable work, orchestrate specialised agents through end-to-end delivery workflows, and wire in the verification gates — automated, agent-driven, and human — that give us confidence to ship. Integration is a first-class automated concern in your pipeline, not a downstream activity.

This is equal parts technical leadership and people leadership. You’ll coach engineers on effective agent management practices — task shaping, constraint specification, tool selection, review discipline — while ensuring human accountability remains explicit at every step. You’ll also identify and build AI and automation solutions within your squad’s domain: workflow automation, assistant patterns, intelligent document processing, predictive components — practical engineering that improves efficiency, quality, or experience.

If you’re a hands-on engineer who sees AI not as a bolt-on but as the operating model for modern delivery, this role will give you the mandate and the team to prove it.

What you’ll do

As Agentic Engineer Lead you will be focused on:

• Leading a squad that operates in an agentic SDLC — an iterative, collaborative loop of agents, deterministic tools, and human signals focused on producing production-ready code rapidly, rather than stage-based documentation and handovers.
• Decomposing requirements into discrete, verifiable units that can be executed by specialised agents and validated through automated verification steps wired into the delivery pipeline.
• Orchestrating the end-to-end delivery flow so that every activity is clearly a tool activity an agent activity or a human signal.
• Applying risk-calibrated routing so changes receive the appropriate depth of automated checks, agent review, and human approval based on change type and impact.
• Identifying and prioritising AI and automation opportunities within your squad’s domain — translating operational pain points into practical, robust, supportable engineering solutions.
• Designing and delivering end-to-end AI and automation solutions as part of squad delivery: workflow automation, assistant patterns, predictive and classification components, intelligent document processing.
• Applying responsible, safe, and privacy-aware AI practices — adhering to established governance and risk expectations and ensuring your squad’s automations meet them.
• Monitoring and improving the performance, reliability, and adoption of your squad’s automations through continuous iteration.
• Managing engineers, coaching, and developing them.
• Partnering with technical and business stakeholders to understand constraints, align on delivery outcomes, and contribute to cross-team integration planning.

What you’ll bring

Required experience:

• 5+ years in software engineering in a large IT environment, with demonstrated progression into technical leadership.
• Proven people leadership experience — you’ve managed direct reports, run performance development, and maintained a healthy delivery cadence.
• Strong hands-on experience with AI, automation, and agent orchestration — you’ve led delivery where AI agents and automated tooling are integral to the workflow, not experimental side projects.
• Demonstrated delivery of AI or automation initiatives that measurably improved efficiency, quality, or experience.
• Expert knowledge of modern software engineering practices — CI/CD, DevOps tooling, performance monitoring, and quality verification techniques.
• Strong understanding of data systems and the ability to work across the stack where automation and AI solutions require it.
• Understanding of data governance, ethics, privacy, and risk management as they apply to AI and automation delivery.
• Ability to translate complex technical concepts into business-friendly language and solutions.
• Effective communication and presentation skills across levels — from engineers to senior stakeholders.
• Strong analytical and problem-solving skills with sound judgement in selecting methods and techniques.

Nice to have:

• Experience with responsible AI frameworks or governance in a delivery context — you’ve implemented guardrails, not just read about them.
• Experience in a SaaS or product-centric environment, particularly in payroll, HR tech, or regulated domains.
• Familiarity with event-driven or event-sourced architectures and domain-driven design.
• Experience operating in professional or managed services environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Microsoft developer certifications or equivalent.

Why join us here at Datacom?

Datacom is one of Australia and New Zealand’s largest suppliers of Information Technology professional services. We have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size.

It’s our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us.

We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. You’ll have the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment.

We operate at the forefront of technology to help Australia and New Zealand’s largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.

We want Datacom to be an inclusive and welcoming workplace for everyone and take pride in the steps we have taken and continue to take to make our environment fun and friendly, and our people feel supported.