Senior Operations AI Engineer
Core
Architecting and deploying autonomous AI systems to optimize supply chain, logistics, and operational workflows for clients.
Role type
Senior Operations AI Engineer (hands-on IC with technical leadership)
Builds
Production-grade agentic AI tools, multi-agent systems, and ML pipelines for operational optimization
Domain
Supply chain, logistics, and operations
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, AutoGen, CrewAI, RAG architectures, vector databases, cloud platforms (Azure/AWS/GCP), Docker, Kubernetes, SQL, data engineering
Preferred skills
Supply chain/logistics domain knowledge, MLOps platforms (MLflow, Kubeflow), enterprise AI integrations (ERP, TMS, WMS)
Technologies
PyTorch, TensorFlow, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI, Azure, AWS, GCP, Docker, Kubernetes, Power BI, Tableau, Cursor, Claude, GitHub Copilot
Responsibilities
Build and deploy ML models for supply chain optimization; Develop agentic AI tools that autonomously monitor and recommend actions; Design multi-agent systems with RAG pipelines; Deliver production-grade AI systems and cloud deployments; Lead technical decision-making and act as primary AI engineering advisor; Mentor engineers and build AI capability across the firm; Present findings to senior client leadership
Seniority
Senior, hands-on IC with technical leadership