AI Engineer Devops

dunnhumby is the global leader in Customer Data Science partnering with the worlds most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight advanced technology and close collaboration to help our clients grow innovate and deliver measurable value for their customers.

dunnhumby employs nearly 2500 experts in offices throughout Europe Asia Africa and the Americas working for transformative iconic brands such as Tesco Coca-Cola Nestlé Unileverand Metro.

Most companies try to meet expectations dunnhumby exists to defy them. Using big data deep expertise and AI-driven platforms to decode the 21^st century human experience then redefine it in meaningful and surprising ways that put customers first. Across digital mobile and retail. For brands like Tesco Coca-Cola Procter & Gamble and PepsiCo.

Our Platform Enablement team plays a critical role in driving engineering excellence through modern DevOps practices AI-driven automation cloud-native architectures and developer-first tooling. We are evolving towards intelligent platforms where AI/GenAI capabilities are deeply integrated into observability operations and developer workflows. As an Engineer in the Platform Enablement (AI Focus) you will design build and evolve intelligent platform capabilities that combine DevOps Observability and AI/GenAI to enable scalable secure and efficient application delivery across multi-cloud environments.

You will play a key role in building and deploying AI agents enhancing observability with AI-driven insights and enabling automated decision-making across the platform.

Key Responsiblities

• Design and build AI/GenAI-powered agents for DevOps use cases (incident RCA alert summarization anomaly detection)
• Integrate AI into platform workflows (CI/CD observability incident management)
• Develop intelligent systems leveraging platforms such as OpenAI Google Vertex AI or AWS Bedrock
• Implement feedback loops and continuous improvement mechanisms for AI systems
• Build and enhance observability frameworks for both applications and AI systems
• Implement monitoring across logs metrics traces and AI-specific signals (prompt latency token usage)
• Leverage tools such as New Relic Grafana and Prometheus
• Drive AIOps use cases such as alert correlation anomaly detection and automated RCA

Technical Expertise

• 3 years of hands-on experience with AI/GenAI or automation-driven use cases
• Understanding of MLOps concepts and AI deployment pipelines
• Experience building or deploying AI Agents / LLM-based systems
• Exposure to platforms like Google Vertex AI
• Strong experience with Kubernetes (K8s)
• Experience with AWS GCP or Azure
• Strong Python programming skills (automation APIs AI integration)
• Experience with CI/CD pipelines (GitLab Jenkins)
• Infrastructure as Code (Terraform or equivalent)
• Docker and microservices architecture
• Observability tools such as New Relic Grafana Prometheus

What you can expect from us

We wont just meet your expectations. Well defy them. So youll enjoy the comprehensive rewards package youd expect from a leading technology company. But also a degree of personal flexibility you might not expect. Plus thoughtful perks like flexible working hours and your birthday off.

Youll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble small-business feel that gives you the freedom to play experiment and learn.

And we dont just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network dh Proud dh Family dh One dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others so if this is important to you please raise this with your recruiter as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)