Automation & AI Engineer
AustralianSuper21 days ago
London, United KingdomSenior
Responsibilities
- Design, build and maintain agentic AI and intelligent automation systems for decision-making, planning and autonomous task execution.
- Translate complex business challenges into agent-based solution architectures covering models, tools, memory, controls and automation patterns.
- Develop orchestrated AI workflows with adaptive behaviour, exception handling, human oversight and safe escalation paths.
- Build and optimise retrieval-augmented generation pipelines using trusted and governed knowledge sources.
- Engineer prompts, tool-use patterns, planning strategies and reasoning approaches for reliable and explainable outcomes.
- Integrate AI agents and automation solutions with applications, APIs, digital channels and enterprise data services.
- Productionise, monitor and support solutions with DevOps and MLOps practices focused on reliability, scalability, observability and lifecycle management.
- Implement guardrails, auditability, human-in-the-loop controls and monitoring for drift, hallucination risk, unintended actions, incidents and service degradation.
- Contribute to reusable AI and automation standards, architecture patterns and engineering practices.
- Communicate solution designs, outcomes, risks and opportunities to technical and non-technical stakeholders.
Requirements
- Strong hands-on technical engineering experience in 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.
- Strong understanding of generative AI, large language models and agent-based system design, including reasoning, planning, memory, tool use, model selection and routing.
- Experience designing autonomous solutions with guardrails, controls, human oversight and escalation paths.
- 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.
- Understanding of agent integration and extensibility standards such as Model Context Protocol and Agent-to-Agent.
- Experience owning complex technical problems through design, implementation, deployment, operational support, incident resolution and continuous improvement.
- Ability to work autonomously, manage competing priorities and make informed engineering decisions in ambiguous or evolving environments.
- Excellent communication and stakeholder management skills.
- A tertiary qualification in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical industry experience.
- Valuable experience includes Azure and Microsoft cloud-native solution design; GitHub or Azure DevOps; Python, PowerShell, Bash or similar scripting; ServiceNow; Microsoft Fabric, Azure Databricks or Azure Synapse Analytics; AI governance, privacy, security, ethical AI and regulatory compliance; regulated financial services; and Agile, Lean, DevOps or startup-style delivery.
Benefits
- Hybrid role based in the London King’s Cross office.
- Collaborative international environment with colleagues across functions, locations and time zones.
- Opportunity to work with emerging technologies and contribute to safe and responsible AI adoption.
- Inclusive workplace with opportunities to learn, grow and contribute to meaningful member outcomes.
- Reasonable adjustments are available during the recruitment process.
- Candidates invited to AI phone screening may opt for a traditional phone screening instead.
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