Why this role stands out
You will thrive in this senior leadership role by shaping the future of AI and automation at a global company, where you can leverage your Azure expertise to design cutting-edge solutions while enjoying a flexible hybrid work schedule. This position offers a highly competitive salary of £70,000+ and a collaborative, relaxed team culture that empowers you to mentor others and drive technical innovation, making it an ideal next step for your career. Apply today to lead impactful, large-scale projects and advance your skills within a forward-thinking organization.
Quick overview
Job description
Our client with a three days in office two from home arrangement seek an experienced AI & Automation Engineer .They are a global growing business providing software services to deliver integrated business management solutions designing and delivering integrated ERP solutions to their distribution trade customers .
( salary £70000 but some flexibility upwards for the right person ) . Client provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade
They are looking for new ways of working automation , they have their own LLMs . Previous experience of an Azure migration would be very much of interest , relaxed work environment , looking for a techy , they will ask me your level of automation experience , as looking for hands on in that area and will ask what migration you have worked on and any mentoring you've been involved with .
This can be based out of their Newcastle office or Berkshire office , Yorkshire office or Nottingham which ever suits best . Your colleagues are mainly in Newcastle .
This is a senior technical leadership role within their AI & Automation team, where you'll help shape how they use automation, Infrastructure as Code, and AI across Azure and Oracle Cloud environments. The focus is on designing and delivering large-scale automation solutions, AI agents, and cloud engineering improvements that reduce manual effort, improve resilience, and speed up recovery, while also mentoring other engineers and driving adoption of AI-first ways of working. We're looking for someone with strong hands-on experience in cloud automation, Terraform/Pulumi, CI/CD, scripting, security, and AI-powered tooling who enjoys solving complex technical challenges and influencing engineering standards across the organisation
As a technical lead you will be within their shared-service AI and automation team, which provides AI capabilities, automation and tooling to Cloud Operations and associated teams across both Microsoft Azure and Oracle Cloud Infrastructure (OCI).
The Senior AI & Automation Engineer designs and delivers complex automation, Infrastructure as Code and domain-specific AI agents, and sets the technical direction for how they industrialise provisioning and improve recovery times across their online products and services.
The role mentors engineers, leads by example on security and quality, and drives the adoption of an AI-first, automation-first approach through influence, knowledge-share and training. You would identify where automation and Infrastructure as Code will deliver the greatest resilience and efficiency gains.
Experience
- 10 years' experience +
- Extensive hands-on automation and scripting experience across multiple languages
- Advanced Infrastructure as Code across Azure and OCI (Terraform, Bicep)
- Proven design and delivery of CI/CD and automation solutions
- Experience building and operating AI / LLM-assisted tooling or agents
- Strong grasp of security, identity (Microsoft Entra / IAM) and secrets management
- Understanding of resilience, DR and recovery objectives (RTO/RPO, failover)
- A track record of mentoring engineers and leading technical work
Nice to have
- Experience applying FinOps to optimise cloud cost through automation
- Familiarity with ISO 27001, SOC 2 or GDPR control expectations
- Experience contributing to engineering standards or reusable patterns
- Curiousity about how AI can enhance productivity, decision-making and customer outcomes, open to learning and adapting .
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