AI Engineering Lead
Core
Design and deliver advanced AI solutions, lead end-to-end AI system architecture, and act as the primary engineering advisor for the Analytics & AI team.
Role type
Principal AI Engineering Lead (Technical Leadership & Delivery)
Builds
Scalable, secure, production-grade AI systems, ML models, LLM-based components, and cloud-native APIs.
Domain
Enterprise Analytics, Artificial Intelligence, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Technical leadership, Python, .NET, Java, ML frameworks (PyTorch, TensorFlow, Scikit-learn), GenAI tooling (Langchain, Langraph), SQL, Data engineering, Cloud platforms (Azure, AWS, GCP), DevOps/MLOps, CI/CD, Observability, System architecture, Mentorship
Preferred skills
PhD, Apache Spark, Agentic Workflows
Technologies
Python, .NET, Java, PyTorch, TensorFlow, Scikit-learn, Langchain, Langraph, Azure, AWS, GCP, Apache Spark
Responsibilities
Engage with business stakeholders to design AI-infused solutions, lead architecture and delivery of end-to-end AI systems, drive technical decision-making, guide the AI engineering team on DevOps/MLOps best practices, integrate AI components with enterprise applications, stay ahead of market trends in ML/GenAI, introduce new tools and patterns, guide internal teams and clients on AI adoption, support business development with proposals and technical presentations, mentor junior engineers, and lead knowledge-sharing initiatives.
Seniority
Principal, hands-on IC with strategic leadership
