The Role
The client is a global financial services leader seeking a Lead AI Engineer to spearhead the design and deployment of agentic AI solutions that will be adopted across the entire company. This role blends hands-on engineering with strategic leadership in a highly skilled team to deliver AI systems that operate across complex cloud environments and impact business lines globally.
Key Responsibilities
- Build and deploy enterprise-grade AI / ML solutions (LLMs, agentic AI) in production
- Lead teams developing systems that handle millions of transactions securely and efficiently
- Architect solutions in the cloud with a focus on scalability, performance, and cost reduction
- Collaborate across business and engineering functions to ensure adoption and measurable impact
- Mentor and guide junior engineers and data scientists in best practices for enterprise AI deployment
Ideal Candidate :
8+ years of commercial experience with ML modelsProven track record of deploying LLMs or advanced ML systems in enterprise productionStrong background in large-scale consumer-facing applications or enterprise AI systemsBlend of ML engineering + system design skills (not purely research or purely SWE)Experience with cloud-native AI deployments (AWS, GCP, or Azure)