dunnhumby
Tech / AI / Software
AIEngineeringManager
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineering Manager at dunnhumby. Skills: AI Engineering Management, GenAI, agentic AI, GCP, Vertex AI, LLM, MLOps, team leadership. Lead a team of AI engineers. design, build and operate production-grade GenAI and agentic AI solutions”
Industry & Context.
unblocking complex problems
What They're Looking For.
Must Have
experience in software/data/ML engineering, including significant hands-on work building and operating AI/ML or LLM-based solutions in production, Proven experience leading AI/ML/LLM engineering teams or acting as a senior technical lead, ideally in a global or distributed setup, Deep practical knowledge of GCP and Vertex AI, with experience designing and operating production workloads using Vertex AI models, endpoints, pipelines and RAG/vector search, Experience with Microsoft AI / Azure AI Foundry or similar platforms, and familiarity with at least one modern agentic AI framework or platform, Solid understanding of LLMs and foundation models (transformers, tokenization, context windows, embeddings, RAG, fine-tuning vs adapters vs prompts, tool calling and risks such as hallucinations or prompt injection), Hands-on experience designing and building AI agents or agentic workflows, integrating them with tools, APIs and internal systems, and managing their reliability, safety and observability, background in security, governance and compliance for AI solutions, including handling of sensitive data, role-based access controls and auditability, Experience with DevOps/MLOps practices for AI: CI/CD, model and prompt versioning, environment management, infrastructure as code, monitoring and incident management, Knowledge of AI evaluation techniques and model testing, including experiment design, quantitative and qualitative evaluation, and human-in-the-loop processes
Nice to Have
Kubernetes a plus
What You'll Do.
Lead a team of AI engineers
build and operate production-grade GenAI and agentic AI solutions
Run structured intake for new AI opportunities
clarify business problems
define scope and success metrics
Architect and implement GenAI and agentic AI solutions on GCP
Use Microsoft AI / Azure AI Foundry (or equivalent) and modern agent platforms to design and implement agentic workflows
tools and integrations
Design AI agents and multi-step agentic workflows
privacy and governance across AI solutions
Define and embed DevOps/MLOps practices for AI
Implement robust observability for AI systems
Establish AI testing and evaluation strategies
Act as a hands-on technical leader
reviewing designs and code
unblocking complex problems
setting engineering standards and best practices for AI delivery
mentor and develop AI engineers
How You'll Work.
Team & Collaboration
collaborate with Product, Commercial, Data Science and Engineering teams in India and the UK; collaborate Effectively with teams in India and internationally
Communication Scope
Excellent communication and stakeholder management
Process & Methodology
Run structured intake for new AI opportunities, define scope and success metrics, shape roadmaps
Full Job Description
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. As an AI Engineering Manager, you will lead a team of AI engineers to design, build and operate production-grade GenAI and agentic AI solutions that power dunnhumby’s global products and services from our India hub. You will combine deep hands-on AI/ML and cloud engineering experience with people leadership and stakeholder management, ensuring that our AI capabilities are secure, scalable, observable and deliver measurable value for brands and shoppers. What you’ll be doing Lead a high-performing team of AI engineers in India to deliver secure, scalable AI and agentic solutions into production. Run structured intake for new AI opportunities, working with Product, Commercial, Data Science and Engineering teams in India and the UK to clarify business problems, define scope and success metrics, and shape roadmaps. Architect and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services. Use Microsoft AI / Azure AI Foundry (or equivalent) and modern agent platforms to design and implement agentic workflows, tools and integrations with internal and external systems. Design AI agents and multi-step agentic workflows, including tool calling, MCP servers and agent-to-agent protocols, to automate and augment retail media and insight use cases. Ensure security, privacy and governance across AI solutions, including handling of sensitive data, access control, secrets
Applying for this AI Engineering Manager role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about dunnhumby?
Real rants from real employees. Read before you apply.