Staff Agentic Artificial Intelligence Engineer
Core
Architect enterprise AI/ML infrastructure and define the strategic direction of MLOps for a global technology leader.
Role type
Staff/Principal AI/ML Operations Engineer (Technical Leadership)
Builds
Next-generation machine learning platforms, real-time distributed inference, edge AI deployments, and foundation model serving.
Domain
Construction Management, Enterprise AI/ML Infrastructure, MLOps
Deliverable
production ML models
Required skills
MLOps, Machine Learning Engineering, Site Reliability Engineering (SRE), Large-scale Inference Systems, Polyglot Programming (Python, Go, Rust, Java, C++), Multi-Cloud Architecture (AWS, Azure, GCP), ML Lifecycle Management, Kubernetes, Service Mesh (Istio), Event-driven Streaming (Kafka)
Preferred skills
Generative AI Systems (LLMs, fine-tuning, vector databases), Advanced Data Engineering, Compliance & Governance (GDPR, CCPA, EU AI Act), Academic Research or Patents
Technologies
Kubernetes, Istio, Kafka, AWS, Azure, GCP, Python, Go, Rust, Java, C++, LLMs, Vector Databases
Responsibilities
Define multi-year technical roadmap for enterprise AI/ML infrastructure; Implement advanced MLOps solutions including automated hyperparameter optimization and neural architecture search; Architect scalable infrastructure for generative technologies and foundation models; Engineer comprehensive ML observability stacks with Zero Trust security; Establish cross-organizational MLOps governance and experimentation frameworks; Partner with C-suite to align technology investments with business outcomes.
Seniority
Staff/Principal, Strategic Leadership & Hands-on Architecture
