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.

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
• Curiosity 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

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