AI Software Engineer

Leidos; Canberra; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flex Your Way

Wellbeing That Matters

Learn Without Limits

Work That Makes an Impact

Build Your Future

And Much More

Job summary

Leidos Australia is seeking an AI Software Engineer to design, build, and deploy AI‑driven software solutions in a government/defense context. You will work at the intersection of software engineering, ML, and cloud technologies to deliver scalable, secure, and reliable applications.

You will collaborate with data scientists, product managers, and business stakeholders to translate requirements into customer‑facing solutions, leveraging Azure/AWS/GCP and modern AI tools.

Qualifications

• Experience designing and developing software applications using modern languages (Python/Java/C#)
• Experience building or deploying AI/ML or generative AI solutions in enterprise settings
• Knowledge of ML frameworks and tools (TensorFlow, PyTorch, Scikit‑learn, LangChain)
• Experience with cloud platforms (Azure/AWS/Google Cloud) and cloud‑native architecture principles
• Ability to design and consume APIs, work with structured/unstructured data, and integrate AI into end‑to‑end software solutions
• Experience with version control, automated testing, CI/CD and secure coding practices
• Strong communication and stakeholder engagement skills
• Ability to work in cross‑functional teams and deliver independently

Responsibilities

• Design, develop, and deploy scalable AI and machine learning solutions from concept to production
• Collaborate with data scientists, software engineers, product managers, and stakeholders to translate requirements into solutions
• Build and optimise cloud‑native applications, APIs, and automation leveraging AI technologies (LLMs, generative AI)
• Contribute to engineering excellence through code reviews, testing, DevOps practices, and secure, reliable solutions

Skills

Python

Java

C#

APIs design

Education

Bachelor's degree in Computer Science / Software Engineering

Tools

TensorFlow

PyTorch

LangChain

Azure

Docker

Kubernetes

Job description

At Leidos Australia, our work goes beyond a job title. We design, build, operate and support the systems, services and capabilities that help protect and advance the Australian way of life.

Backed by a global organisation of more than 40,000 people, our Australian team of around 2,000 has partnered with government, defence and national security customers for more than 30 years. We deliver mission-critical solutions where reliability, trust and purpose matter.

Leidos is a destination for people who want their work to have purpose, their contribution to be recognised, and their career to grow without needing to fit a single mould. Meaningful work is supported by benefits, flexibility and career pathways that help you grow while balancing life outside work. This includes:

• Flex Your Way – Tailor work to your life with options including Life Days (up to 12 extra days off per year), part‑time arrangements, job sharing, and compressed hours.
• Wellbeing That Matters – Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.
• Learn Without Limits – Access over 120,000 on-demand courses, alongside technical, project management, leadership, and professional development opportunities.
• Work That Makes an Impact – Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.
• Build Your Future – Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.
• And Much More – These are just a few of the ways we invest in our people and help them thrive.

About the Team

You’ll join a team where people work with integrity, inclusion, innovation, agility, collaboration and commitment. In practice, that means sharing ownership, solving complex problems together and staying connected to the customer context, the purpose behind the work and how each role contributes to meaningful outcomes.

Mission Software Systems (MSS) brings together expertise across intelligence, software, and cloud to deliver end-to-end capability supporting the full intelligence lifecycle, from planning through to dissemination and feedback. The team fosters a culture of innovation, leveraging modern engineering practices and shared infrastructure to rapidly build, test, and deploy software solutions across a range of environments, including cloud. MSS also plays a key role in advancing technology modernisation within Government, delivering scalable and adaptable solutions for complex enterprise challenges.

The Opportunity

This is an exciting opportunity to join a team shaping the next generation of AI-powered solutions that deliver real‑world impact. As an AI Software Engineer, you will work at the intersection of software engineering, machine learning, and cloud technologies to design, build, and deploy innovative applications that solve complex business challenges.

• Design, develop, and implement scalable AI and machine learning solutions, taking products from concept through to production deployment.
• Collaborate with data scientists, software engineers, product managers, and business stakeholders to translate requirements into intelligent, customer‑focused solutions.
• Build and optimise cloud‑native applications, APIs, and automation services that leverage modern AI technologies, including generative AI, large language models (LLMs), and advanced analytics.
• Contribute to engineering excellence through code reviews, testing, DevOps practices, and continuous improvement initiatives that ensure secure, reliable, and maintainable solutions.

About You

We are looking for someone who is passionate about applying AI technologies to solve meaningful problems and enjoys working in a collaborative environment where innovation, learning, and continuous improvement are valued.

• Experience designing and developing software applications using languages such as Python, Java, C#, or similar modern programming languages.
• Experience building, integrating, or deploying AI, machine learning, or generative AI solutions in a commercial or enterprise environment.
• Knowledge of machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit‑learn, LangChain, or equivalent technologies.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud and an understanding of cloud‑native architecture principles.
• Ability to design and consume APIs, work with structured and unstructured data, and integrate AI capabilities into end‑to‑end software solutions.
• Experience applying software engineering best practices including version control, automated testing, CI/CD pipelines, and secure coding standards.
• Strong communication and stakeholder engagement skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
• Ability to work collaboratively within cross‑functional teams while contributing independently to technical delivery outcomes.

Advantageous

• Experience with large language models (LLMs), prompt engineering, retrieval‑augmented generation (RAG), vector databases, or AI agent frameworks.
• Knowledge of MLOps, model monitoring, and AI governance practices.
• Experience developing solutions using Azure AI Services, Azure OpenAI, Azure Machine Learning, or comparable platforms.
• Familiarity with containerisation and orchestration technologies such as Docker and Kubernetes.
• Experience working within Agile delivery environments and contributing to product‑focused development teams.
• Relevant tertiary qualifications in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline.

This role requires the successful applicant to be an Australian citizen and hold an active TSPV security clearance.

What to Expect When You Apply

Our hiring process is designed to be straightforward, respectful and easy to navigate. If your skills, experience and qualifications look aligned with the role, our Talent Acquisition team will contact you to discuss the next stage. You can expect:

• An initial conversation with our Talent Acquisition team
• An interview with the hiring manager or interview panel
• Any role‑specific assessment, technical discussion or customer step required for the position

We’ll let you know what to expect before each stage, including who you’ll meet and how to prepare. If you need any adjustments or support during the process, please let us know.

Ready to explore what’s possible?

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

About Leidos Australia

At Leidos Australia, our work goes beyond a job title. We design, build, operate and support the systems, services and capabilities that help protect and advance the Australian way of life.

Backed by a global organisation of more than 40,000 people, our Australian team of around 2,000 has partnered with government, defence and national security customers for more than 30 years. We deliver mission‑critical solutions where reliability, trust and purpose matter.

Leidos is a destination for people who want their work to have purpose, their contribution to be recognised, and their career to grow without needing to fit a single mould. Meaningful work is supported by benefits, flexibility and career pathways that help you grow while balancing life outside work. This includes:

• Flex Your Way – Tailor work to your life with options including Life Days (up to 12 extra days off per year), part‑time arrangements, job sharing, and compressed hours.
• Wellbeing That Matters – Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.
• Learn Without Limits – Access over 120,000 on‑demand courses, alongside technical, project management, leadership, and professional development opportunities.
• Work That Makes an Impact – Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.
• Build Your Future – Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.
• And Much More – These are just a few of the ways we invest in our people and help them thrive.

About the Team

You’ll join a team where people work with integrity, inclusion, innovation, agility, collaboration and commitment. In practice, that means sharing ownership, solving complex problems together and staying connected to the customer context, the purpose behind the work and how each role contributes to meaningful outcomes.

Mission Software Systems (MSS) brings together expertise across intelligence, software, and cloud to deliver end‑to‑end capability supporting the full intelligence lifecycle, from planning through to dissemination and feedback. The team fosters a culture of innovation, leveraging modern engineering practices and shared infrastructure to rapidly build, test, and deploy software solutions across a range of environments, including cloud. MSS also plays a key role in advancing technology modernisation within Government, delivering scalable and adaptable solutions for complex enterprise challenges.

The Opportunity

This is an exciting opportunity to join a team shaping the next generation of AI‑powered solutions that deliver real‑world impact. As an AI Software Engineer, you will work at the intersection of software engineering, machine learning, and cloud technologies to design, build, and deploy innovative applications that solve complex business challenges.

• Design, develop, and implement scalable AI and machine learning solutions, taking products from concept through to production deployment.
• Collaborate with data scientists, software engineers, product managers, and business stakeholders to translate requirements into intelligent, customer‑focused solutions.
• Build and optimise cloud‑native applications, APIs, and automation services that leverage modern AI technologies, including generative AI, large language models (LLMs), and advanced analytics.
• Contribute to engineering excellence through code reviews, testing, DevOps practices, and continuous improvement initiatives that ensure secure, reliable, and maintainable solutions.

About You

We are looking for someone who is passionate about applying AI technologies to solve meaningful problems and enjoys working in a collaborative environment where innovation, learning, and continuous improvement are valued.

• Experience designing and developing software applications using languages such as Python, Java, C#, or similar modern programming languages.
• Experience building, integrating, or deploying AI, machine learning, or generative AI solutions in a commercial or enterprise environment.
• Knowledge of machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit‑learn, LangChain, or equivalent technologies.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud and an understanding of cloud‑native architecture principles.
• Ability to design and consume APIs, work with structured and unstructured data, and integrate AI capabilities into end‑to‑end software solutions.
• Experience applying software engineering best practices including version control, automated testing, CI/CD pipelines, and secure coding standards.
• Strong communication and stakeholder engagement skills, with the ability to explain technical concepts to both technical and non‑technical audiences.
• Ability to work collaboratively within cross‑functional teams while contributing independently to technical delivery outcomes.

Advantageous

• Experience with large language models (LLMs), prompt engineering, retrieval‑augmented generation (RAG), vector databases, or AI agent frameworks.
• Knowledge of MLOps, model monitoring, and AI governance practices.
• Experience developing solutions using Azure AI Services, Azure OpenAI, Azure Machine Learning, or comparable platforms.
• Familiarity with containerisation and orchestration technologies such as Docker and Kubernetes.
• Experience working within Agile delivery environments and contributing to product‑focused development teams.
• Relevant tertiary qualifications in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related discipline.

This role requires the successful applicant to be an Australian citizen and hold an active TSPV security clearance.

What to Expect When You Apply

Our hiring process is designed to be straightforward, respectful and easy to navigate. If your skills, experience and qualifications look aligned with the role, our Talent Acquisition team will contact you to discuss the next stage. You can expect:

• An initial conversation with our Talent Acquisition team
• An interview with the hiring manager or interview panel
• Any role‑specific assessment, technical discussion or customer step required for the position

We’ll let you know what to expect before each stage, including who you’ll meet and how to prepare. If you need any adjustments or support during the process, please let us know.

Ready to explore what’s possible?

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.