Lead the day-to-day delivery of AI products across SiGMA's brands
Set the technical architecture for LLM-based systems, RAG pipelines, agentic workflows, and recommendation engines
Drive model selection, evaluation frameworks, prompt engineering standards, and MLOps practices
Partner with the AI Product Manager to take initiatives from PRD to production
Own the engineering quality bar, including code review, testing, observability, and incident response
Work with data engineering to ensure clean, well-governed data pipelines for AI use cases
Stay close to the frontier of AI research and translate new techniques into production opportunities
Contribute to AI safety, evaluation, and responsible AI practices across the group
Represent the AI engineering team in internal forums and external technical communities

8+ years of software engineering experience with at least 3 years leading AI or ML teams
Deep hands-on experience shipping LLM-based products including RAG, agents, fine-tuning, and evaluation
Strong programming skills in Python, with familiarity in PyTorch, LangChain or LlamaIndex, vector databases, and cloud AI services on AWS, GCP, or Azure
Proven track record taking AI products from prototype to production at scale
Strong product instincts and the ability to balance model quality, latency, cost, and user experience
Excellent written and verbal communication
Experience hiring, mentoring, and growing technical teams
Willingness to travel internationally

AI Lead

Key skills