AI Architect

Position-AI Architect
Location-Torrance, CA Job Description Experience 10+ years overall experience, with 5+ years in AI/ML and GenAI architecture and implementation, and strong cloud‑native delivery experience Key Responsibilities AI Architecture & Solution Design Design end‑to‑end AI / ML / GenAI architectures for Automotive and Manufacturing use cases Define cloud‑native reference architectures for AI workloads on AWS, Azure, or Google Cloud Platform Translate business requirements into secure, scalable, and cost‑optimized AI solutions Align AI architectures with enterprise security, compliance, and governance standards AI / ML / GenAI Implementation Lead hands‑on implementation of AI solutions, including: Machine Learning and Deep Learning models GenAI solutions using LLMs (RAG, embeddings, prompt engineering) Computer Vision and NLP use cases relevant to manufacturing and automotive Ensure transition from POC → Pilot → Production Build and deploy AI pipelines for training, inference, and monitoring Automotive & Manufacturing Use Cases Design and deliver AI solutions for: Predictive maintenance and asset health monitoring Quality inspection using computer vision Smart manufacturing / Industry 4.0 initiatives Supply chain optimization and demand forecasting Connected vehicle and telematics analytics Warranty analytics and root‑cause analysis Work with plant, operations, and engineering teams to align AI solutions with real‑world workflows Cloud & Platform Engineering Architect AI platforms on: AWS (SageMaker, Bedrock, EKS, Lambda, S3) Azure (Azure ML, Azure OpenAI, Synapse, Data Factory) Google Cloud Platform (Vertex AI, BigQuery, Cloud Run) Design containerized and microservices‑based AI systems Implement integrations with enterprise systems (ERP, MES, PLM, IoT platforms) MLOps, Governance & Scalability Required Skills & Experience AI / Data Technologies Strong expertise in: Machine Learning, Deep Learning, NLP GenAI and LLM architectures (RAG, vector search) Hands‑on experience with: TensorFlow, PyTorch, Scikit‑learn LangChain / LlamaIndex (preferred) Vector databases (Pinecone, FAISS, Milvus) Cloud & Engineering Strong experience in at least one major cloud platform Solid programming skills in Python (mandatory) Experience with: REST APIs, event‑driven architectures Docker, Kubernetes Infrastructure as Code (Terraform / ARM / CloudFormation) Domain Experience (Mandatory) Proven experience delivering AI solutions for: Automotive Manufacturing / Industrial enterprises Strong understanding of plant operations, engineering data, and operational KPIs