Lead AI Engineer
Core
Design, build, and operate enterprise AI platforms supporting machine learning, generative AI, and advanced analytics workloads across public and private cloud environments.
Role type
Lead IC AI Platform Engineer (MLOps/Infrastructure)
Builds
Scalable, secure, and reliable AI infrastructure enabling teams to develop and deploy AI-powered solutions
Domain
Fintech / Enterprise AI Platform Engineering
Deliverable
infrastructure
Required skills
Cloud-native system design, Kubernetes/OpenShift, Python, CI/CD pipelines, MLOps principles, observability/telemetry, distributed systems, troubleshooting
Preferred skills
Generative AI/LLM workloads, model evaluation/finetuning/guardrails, AI serving infrastructure, GPU-accelerated computing, GitOps, vector databases, agentic systems
Technologies
Kubernetes, OpenShift, Docker, Helm, Python, CI/CD, Infrastructure as Code, GPU clusters
Responsibilities
Design and automate platform capabilities for AI solution lifecycle management; Implement MLOps workflows for repeatable, scalable, and secure AI development; Develop observability solutions including drift detection and performance monitoring; Partner with engineering teams to accelerate delivery of AI-powered products; Evaluate emerging AI technologies to shape platform strategy; Mentor peers and drive engineering best practices
Seniority
Senior, hands-on IC with mentorship responsibilities
