AI Architect

Job Title: AI ArchitectLocation: Torrance, CA (Day-1 Onsite)Duration: Long Term ContractJob DescriptionExperience10+ years overall experience, with 5+ years in AI/ML and GenAI architecture and implementation, and strong cloud-native delivery experienceRole SummaryThe AI Architect will be responsible for designing, architecting, and implementing large-scale AI solutions for Automotive and Manufacturing enterprises, leveraging modern cloud platforms and AI technologies.This role demands strong hands-on experience in AI/ML, GenAI, data platforms, and MLOps, along with deep understanding of manufacturing and automotive business processes such as smart factories, predictive maintenance, quality analytics, connected vehicles, and supply chain optimization.The architect will act as a technical leader, working across business stakeholders, solution teams, and cloud platforms to deliver production-grade, scalable AI solutions.Key ResponsibilitiesAI Architecture & Solution DesignDesign end-to-end AI / ML / GenAI architectures for Automotive and Manufacturing use casesDefine cloud-native reference architectures for AI workloads on AWS, Azure, or GCPTranslate business requirements into secure, scalable, and cost-optimized AI solutionsAlign AI architectures with enterprise security, compliance, and governance standardsAI / ML / GenAI ImplementationLead hands-on implementation of AI solutions, including:Machine Learning and Deep Learning modelsGenAI solutions using LLMs (RAG, embeddings, prompt engineering)Computer Vision and NLP use cases relevant to manufacturing and automotiveEnsure transition from POC ? Pilot ? ProductionBuild and deploy AI pipelines for training, inference, and monitoringAutomotive & Manufacturing Use CasesDesign and deliver AI solutions for:Predictive maintenance and asset health monitoringQuality inspection using computer visionSmart manufacturing / Industry 4.0 initiativesSupply chain optimization and demand forecastingConnected vehicle and telematics analyticsWarranty analytics and root-cause analysisWork with plant, operations, and engineering teams to align AI solutions with real-world workflowsCloud & Platform EngineeringArchitect AI platforms on:AWS (SageMaker, Bedrock, EKS, Lambda, S3)Azure (Azure ML, Azure OpenAI, Synapse, Data Factory)GCP (Vertex AI, BigQuery, Cloud Run)Design containerized and microservices-based AI systemsImplement integrations with enterprise systems (ERP, MES, PLM, IoT platforms)MLOps, Governance & ScalabilityEstablish MLOps frameworks for CI/CD, model versioning, deployment, and retrainingImplement monitoring for:Model performance and driftData quality and pipeline healthCost and usage optimizationEnsure AI solutions comply with responsible AI, explainability, and regulatory requirementsRequired Skills & ExperienceAI / Data TechnologiesStrong expertise in:Machine Learning, Deep Learning, NLPGenAI and LLM architectures (RAG, vector search)Hands-on experience with:TensorFlow, PyTorch, Scikit-learnLangChain / LlamaIndex (preferred)Vector databases (Pinecone, FAISS, Milvus)Cloud & EngineeringStrong experience in at least one major cloud platformSolid programming skills in Python (mandatory)Experience with:REST APIs, event-driven architecturesDocker, KubernetesInfrastructure as Code (Terraform / ARM / CloudFormation)Domain Experience (Mandatory)Proven experience delivering AI solutions for:AutomotiveManufacturing / Industrial enterprisesStrong understanding of plant operations, engineering data, and operational KPIsNice to HaveExperience in global, multi-vendor enterprise programsExposure to IoT platforms and streaming dataCloud and AI certifications (AWS / Azure / GCP)Experience in AMS / Support platforms or operational analytics.Thanks & RegardsDarshan NeemaClient Account Manager, KTEK ResourcingO 832-260-0695 E darshan.neema@W A 2277 Plaza Dr. Suite 240, Sugar Land, TX 77479

Created: 2026-05-09