AI Engineer
Role details
Job location
Tech stack
Job description
Are you an AI engineer who loves taking models out of the lab and putting them into real, high-impact production systems?
Do you want to build secure, responsible AI solutions that genuinely improve public services and decision-making?
Are you excited by integrating cutting-edge AI into complex platforms-while working in environments that value ethics, governance, and quality?
Role overview
We are seeking an AI Engineer to design, build, and operate AI-powered systems that support the delivery of critical public services.
You will work within multidisciplinary teams to implement reliable, secure, and governable AI capabilities within government digital services. The role focuses on applying modern AI models and platforms to real-world use cases, improving decision-making, automating workflows, and enhancing user experience across public-sector systems.
This role is suited to an engineer who enjoys shipping AI into production, integrating AI into existing services, and working within strong ethical, security, and governance constraints., As an AI Engineer, you will:
- Design and build AI-enabled services and workflows for public-sector use cases
- Develop production-ready AI services using Python and modern AI frameworks and APIs
- Build and operate AI-powered agents and automation, with appropriate controls, monitoring, and human oversight
- Integrate language and multimodal models (e.g. text, documents, images) into digital services and APIs
- Embed AI capabilities directly into products and services (e.g. decision support, case handling, internal tools), rather than standalone chatbots
- Build and maintain data flows required for AI inference, evaluation, and monitoring
- Optimise AI systems for reliability, latency, and cost-effective inference
- Monitor live AI systems for quality, drift, bias, and operational failure modes
- Apply responsible AI principles, including explainability, auditability, and governance standards
- Collaborate closely with product managers, designers, data professionals, and software engineers
- Contribute to documentation, code reviews, and shared AI tooling and standards, Contact Shannon Heffernan Senior Talent Executive - Internal Careers
Requirements
You will bring
- Strong experience using Python to build production services and AI-enabled applications
- Hands-on experience integrating large language models and AI APIs into real systems
- Experience deploying and operating AI services in production environments
- Understanding of AI operations (monitoring, evaluation, versioning, and rollback)
- Experience integrating AI capabilities into APIs, workflows, and digital platforms
- Familiarity with cloud platforms (AWS, Azure, or GCP) and managed AI services
- Solid engineering fundamentals (testing, CI/CD, observability, security)
- Experience working in regulated, secure, or high-compliance environments
- Strong communication skills and comfort working in multidisciplinary teams
Desirable Experience
Ideally, you'll also have:
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Experience in public sector, healthcare, defence, or government environments
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Experience building agent-based systems, orchestration, or workflow automation
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Knowledge of AI governance, assurance, and audit requirements
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Experience with explainability, evaluation, and bias monitoring for AI systems
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Familiarity with open-source AI tooling and modern inference frameworks
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Experience contributing to shared platforms or internal AI enablement teams