Agentic Automation Engineer
The Role
- Design, develop, test and deploy safe and secure AI agents capable of reasoning, planning, coordinating activities and interacting with business systems to automate increasingly complex operational and knowledge-based activities safely and effectively
- Integrate Agentic AI solutions with enterprise platforms, software applications and operational systems by developing secure APIs, connectors and reusable integration services using low-code technologies
- Configure, extend and maintain low-code platforms and data pipelines to enable the automation of business processes and workflows across the rail industry
- Create and continuously improve reusable capability products by documenting engineering patterns, reusable components, reference implementations, standards and technical guidance, to strengthen industry professional capability and enable faster, more consistent delivery
- Provide technical delivery assurance by assessing technical complexity, estimating engineering effort, conducting solution testing and resolving technical issues throughout the delivery life cycle
- Support the deployment of solutions that meet operational needs and deliver measurable value by translating business requirements and process definition documents to inform user-centred design of automation solutions
- Optimise agentic automation solutions to maintain accuracy, scalability and resilience by peer reviewing solutions, maintaining solution quality and continuously improving delivery approach and outcomes
- Operate within governance frameworks by applying security controls for intelligent and agentic automation solutions and maintaining adherence to organisational standards and industry best practices
Skills Required:
- Proven experience developing enterprise automation solutions within the Microsoft low-code and pro-code ecosystem (Copilot Studio, Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure Logic Apps, Azure Functions, Azure API Management, Azure DevOps, Microsoft Fabric, Microsoft Graph, Microsoft Entra ID, Semantic Kernel, Dataverse, GitHub, etc
- Experience with one or more other agentic orchestration platforms (eg AWS Bedrock Agents, Google Cloud Vertex, IBM watsonx Orchestrate, UiPath Agent Builder)
- Experience developing operational copilots and integrating enterprise systems and APIs, designing and implementing REST APIs, GraphQL APIs, event-driven architectures, webhooks, message queues and integration Middleware
- Experience with Git, CI/CD, automated testing, secure software development, source control, containerisation (eg Docker, Kubernetes) and cloud-native development
- Strong programming skills in languages such as Python, .NET, C#, JavaScript/TypeScript, Java or SQL
- Comprehensive solution requirement capture, process design, solution design and solution definition documentation experience
- Experience with cloud platforms and their components (eg Azure, AWS, GCP,) for deploying and managing solutions
- Excellent problem-solving abilities, innovative thinking and a collaborative mindset
This is a hybrid role (3 days per week) and can be based from a hub in London or York.