
Posted 4 days ago
AI Engineering Manager
dunnhumbyAI Engineering Manager - Global Infra
Requirements
software/data/ML engineering experience, hands-on AI/ML or LLM production experience, team leadership experience, GCP and Vertex AI expertise, Azure AI Foundry or similar, understanding of LLMs and foundation models, DevOps/MLOps practices, AI security and governance knowledge
Skills
GenAIGCPVertex AIMLOpsLLM
About the role
Responsibilities
- Lead a high-performing team of AI engineers in India to deliver secure, scalable GenAI and agentic AI solutions into production.
- Architect and implement AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder).
- Design agentic workflows, including tool calling and multi-step protocols, to automate retail media and insight use cases.
- Define and embed DevOps/MLOps practices, including CI/CD for models and prompts, infrastructure as code, and environment promotion.
- Implement robust observability for AI systems, including tracing, logging, metrics, and cost monitoring.
- Establish AI testing and evaluation strategies, such as red-teaming, regression testing, and human-in-the-loop feedback loops.
- Coach, mentor, and develop AI engineers, fostering a culture of continuous learning and experimentation.
Requirements
- Strong experience in software, data, or ML engineering with hands-on experience building and operating LLM-based solutions in production.
- Proven experience leading AI/ML engineering teams or acting as a senior technical lead.
- Deep practical knowledge of GCP and Vertex AI (models, endpoints, pipelines, and RAG/vector search).
- Experience with Microsoft AI / Azure AI Foundry or similar platforms and modern agentic AI frameworks.
- Solid understanding of LLMs and foundation models, including transformers, tokenization, embeddings, and fine-tuning.
- Hands-on experience designing AI agents and integrating them with tools, APIs, and internal systems.
- Strong background in AI security, governance, and compliance, including handling sensitive data and access controls.
- Proficiency with DevOps/MLOps practices tailored for AI, such as model versioning and monitoring.
Benefits
- Comprehensive rewards package typical of a leading technology company.
- Flexible working hours and personal flexibility.
- Thoughtful perks, including your birthday off.
- Access to cutting-edge technology and an environment that encourages experimentation.
About the Company
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.
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dunnhumby · Gurgaon
