AI Engineer

AI Engineer Location: Gurgaon Department: Technology Enablement dunnhumby is the global leader in Customer Data Science, partnering with the world’s 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 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and 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 won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d 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. You’ll 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 don’t 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