AI Automation Engineer

Our client based in Berkshire 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 .

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 .

Responsibilities

• Lead the design, development and delivery of complex automation, Infrastructure as Code and AI-powered solutions across Azure and Oracle Cloud Infrastructure (OCI) environments.
• Develop and implement reusable automation frameworks, standards, and engineering patterns
• Drive the adoption of AI-first ways of working by introducing innovative automation and AI capabilities that enhance service delivery and effectiveness.
• Lead initiatives to automate provisioning, reduce manual effort, and improve operational resilience across cloud operations functions.
• Design and maintain Infrastructure as Code solutions using industry-standard tools and practices to ensure secure, reliable, and repeatable deployments.
• Build and enhance CI/CD pipelines to support efficient, automated, and compliant deployment processes.
• Embed security, identity management, access controls, and secrets management into automation solutions by default, ensuring secure-by-design practices.
• Drive improvements in system resilience, recovery capabilities, and operational performance through well-engineered automation solutions.
• Implement cost-optimisation and FinOps practices within automation and cloud provisioning processes to improve resource efficiency and reduce waste.
• Mentor, coach, and develop engineers, improving automation, AI, and cloud engineering capabilities across the Cloud Operations function.
• Lead code reviews, technical knowledge-sharing sessions, training workshops, and demonstrations to promote engineering excellence and adoption of best practices.
• Collaborate with internal technology teams and stakeholders to evaluate, implement, and optimise cloud, automation, and AI tooling.
• Champion engineering standards that improve security, compliance, reliability, and the protection of customer data and services.
• Contribute to continuous improvement initiatives, team strategy development, and the advancement of automation and AI capabilities across the organisation.
• Lead by example in fostering a collaborative, innovative, and learning-focused culture that encourages the adoption of modern cloud, automation, and AI practices.
• Support technical decision-making and provide leadership coverage on complex engineering matters when required.
• Ensure automation solutions align with organisational security, compliance, governance, and operational standards.