Młodszy / Młodsza Automatyk in London

Job Title: AI & Automation Engineer Location: London, King's CrossHybrid Design and deliver agentic AI solutions that can reason, plan, orchestrate workflows and execute tasks. Work with Microsoft Foundry, Copilot Studio, Power Platform, Azure and modern agent orchestration frameworks. Help establish the standards and guardrails for safe, scalable and responsible AI across a complex global organisation. About AustralianSuperAt AustralianSuper, our purpose is to help members achieve their best financial position in retirement. Technology, data and digital capability are critical to delivering that purpose. As expectations, regulation and technology continue to evolve, we are investing in intelligent and autonomous solutions that can improve decision-making, strengthen operational resilience and create more efficient ways of working. We are now looking for an AI & Automation Engineer to join our AI & Automation team in London and help shape how agentic AI and intelligent automation are designed, governed and deployed across the Fund. You will be a hands-on technical specialist responsible for designing, building, operating and supporting agentic AI and intelligent automation capabilities. This role brings together applied AI, automation engineering, solution architecture, enterprise integration and operational support. You will work collaboratively with colleagues across Technology, Data and Digital to embed reliable AI and automation capabilities into enterprise platforms and end-to-end business processes. Design, build and maintain agentic AI and automation systems that support intelligent decision-making, goal-driven planning and autonomous task execution. Translate complex business challenges into agent-based solution architectures, selecting suitable models, tools, memory strategies, control mechanisms and automation patterns. Develop AI-enabled workflows incorporating orchestration, adaptive behaviour, exception handling, human oversight and safe escalation paths. Design agent orchestration using frameworks such as Semantic Kernel, LangChain or equivalent technologies. Engineer prompts, tool-use patterns, planning strategies and reasoning approaches that produce consistent, explainable and reliable outcomes. Integrate AI agents and automation solutions with core applications, APIs, digital channels and enterprise data services. Productionise solutions using appropriate DevOps and MLOps practices, with a focus on reliability, scalability, observability and ongoing support. Monitor agent performance, drift, hallucination risk, unintended actions, incidents and service degradation. Contribute to reusable AI and automation standards, architecture patterns and engineering best practices. Communicate solution designs, outcomes, risks and opportunities clearly to technical and non-technical stakeholders. Strong hands-on experience in hands-on technical engineering roles within complex enterprise environments. Demonstrated experience designing, delivering and supporting production-grade AI-enabled, intelligent automation or decision-support solutions. Practical experience with agentic AI systems, autonomous workflows, orchestration patterns, adaptive automation and goal-driven decision architectures. A strong understanding of Generative AI, large language models and agent-based system design, including reasoning, planning, memory, tool use, model selection and routing. Strong expertise in Microsoft Power Platform, including Power Automate, Power Apps and Copilot Studio. Experience with Microsoft Foundry, including Foundry Models and Foundry Agents Service. Experience owning complex technical problems through design, implementation, deployment, operational support, incident resolution and continuous improvement. The ability to work autonomously, manage competing priorities and make informed engineering decisions in ambiguous or evolving environments. A tertiary qualification in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical industry experience. Azure services and cloud-native solution design within a Microsoft environment. CI/CD, environment management, monitoring and lifecycle management using GitHub or Azure DevOps. Python, PowerShell, Bash or a similar scripting language. ServiceNow and IT service management processes. Microsoft Fabric, Azure Databricks, Azure Synapse Analytics or equivalent enterprise data platforms. AI governance, privacy, security, ethical AI and regulatory compliance. Financial services, pension, superannuation, insurance or another regulated environment. Agile, Lean, DevOps or startup-style delivery models. We are committed to building an inclusive workplace where different perspectives are valued and where colleagues have the opportunity to learn, grow and contribute to meaningful outcomes for members. Joining our London office means becoming part of a collaborative and growing international environment, working with colleagues across functions, locations and time zones. This role offers the opportunity to work with emerging technologies while contributing to the safe and responsible adoption of AI and automation across the organisation. Apply now if you are passionate about agentic AI, intelligent automation and engineering excellence, and want to help turn emerging AI capability into safe, scalable and reliable real-world solutions. If you share our values of Energy, Integrity, Generosity of Spirit and Excellent Outcomes, we would love to hear from you. AustralianSuper uses AI to review resumes and conduct initial phone interviews. This involves processing your resume, cover letter, and voice recording in Australia, the UK and the USA to help assess your suitability for the applied role. When invited to an AI phone screening, you may opt for a traditional phone screening instead. For information on how we handle your personal data, please refer to our Candidate Privacy Policy.