Senior AI Engineer
Core
Lead architectural design and development of generative/optimization models for process simulation, scheduling, and predictive analytics in manufacturing.
Role type
Senior AI Engineer (Industrial Optimization & Generative AI)
Builds
Manufacturing & Supply Digital Platform (digital twins, simulation, intelligent automation)
Domain
Industrial Manufacturing / AI & Optimization
Deliverable
production ML models
Required skills
Generative AI models, Agentic AI systems (LangChain, AutoGen), Cloud-native architecture, LLMOps, MLOps, Multi-objective optimization, Non-linear optimization, Evolutionary algorithms, Constraint-based optimization, Real-time data stream integration, High-throughput deployment
Preferred skills
Synthetic data generation, Model quantization/pruning, NVIDIA stack (TensorRT, DeepStream, RAPIDS, Triton), OpenUSD scene graphs, CI/CD at scale, Root-cause analysis, Digital twin calibration
Technologies
Amazon Bedrock, AWS AI-ML services, LangChain, AutoGen, NVIDIA Omniverse, NVIDIA RAPIDS, TensorRT, cuOpt, OpenUSD
Responsibilities
Lead architectural design of generative/optimization models for process simulation and scheduling; Orchestrate pipelines for synthetic data generation, model training, validation, and deployment; Implement advanced optimization approaches for process efficiency; Guide integration of embedded AI with real-time industrial data streams; Mentor teams in coding best practices and deployment workflows
Seniority
Senior, hands-on IC with mentorship responsibilities
