Lead AI Engineer - Global Infra

What you’ll be doing

• 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 management and safety/guardrail mechanisms.
• Define and embed DevOps/MLOps practices for AI (CI/CD for models, prompts and agents; infrastructure as code; environment promotion; blue/green and canary releases; incident response).
• Implement robust observability for AI systems: tracing prompts and tool calls, logging, metrics, dashboards and alerts to monitor quality, performance and cost.
• Establish AI testing and evaluation strategies: oAline and online model evaluation, red-teaming, regression testing, and human-in-the-loop review and feedback loops.
• Act as a hands-on technical leader, reviewing designs and code, unblocking complex problems, and setting engineering standards and best practices for AI delivery.
• Coach, mentor and develop AI engineers, supporting their growth and ensuring a culture of learning, experimentation and continuous improvement.

What we expect from you

• Strong 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.
• Strong 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.
• Excellent communication and stakeholder management skills; able to collaborate eAectively with teams in India and internationally, and to balance ambition, feasibility and risk. 

You'll Thrive If You…

• Enjoy solving complex technical problems with a pragmatic mindset.
• Balance technical excellence with business impact and delivery outcomes.
• Take ownership while helping others succeed.
• Are motivated by working in a data-rich, technology-driven environment.

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.

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 your recruiter know what adjustments would help.

India Benefits

• Healthcare & Family Cover: Group Medical Insurance of INR 500,000 for employees and dependents, plus dental and vision cover up to INR 5,000. 
• Protection: Group Term Life Insurance and Group Personal Accident cover with benefit levels linked to employee grade, including disability benefits. 
• Retirement & Wellbeing: Provident Fund, Gratuity, National Pension Scheme access, Indian Health Organisation membership, and confidential employee assistance support. 
• Lifestyle & Flexibility: Office commute support, internet allowance of INR 2,000 per month for blended working, work-from-home kit support, subsidised food, and wellbeing resources. 
• Recognition & Extras: Long service awards, Talent Scout referral programme, and family milestone support. 
• Time Off & Family Leave: 25 days holiday plus 10 public holidays, paid maternity, paternity and adoption leave, and a day off for your birthday.

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)