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AI Consultant – Manufacturing & SLM
AI Consultant – Manufacturing & SLMTrispoke managed services • Santa Clara County, California, USA
AI Consultant – Manufacturing & SLM

AI Consultant – Manufacturing & SLM

Trispoke managed services • Santa Clara County, California, USA
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We are looking for an experienced AI Consultant with deep expertise in machine learning deep learning and generative AI coupled with domain knowledge in Manufacturing and Service Lifecycle Management (SLM) - particularly in automotive (trucks buses) and heavy equipment industries.

The ideal candidate will be a full stack AI engineer capable of architecting deploying and scaling AI solutions across design production quality aftersales and service operations. This role blends hands-on technical development with consultative leadership including pre-sales solutioning prototyping and client enablement.

Key Responsibilities

1. AI Solutioning & Consulting

  • Partner with manufacturing and service leaders to identify high-value AI use cases across product design predictive maintenance warranty analytics service operations and supply chain optimization .
  • Drive pre-sales engagements client workshops and AI opportunity assessments for industrial clients.
  • Develop proof-of-concepts rapid prototypes and demos to demonstrate business value.
  • Translate business problems into AI / ML solution architectures and roadmaps.

2. Technical Leadership

  • Design and build end-to-end AI pipelines for time-series analysis anomaly detection vision-based inspection and document understanding.
  • Lead development of GenAI applications and agentic AI workflows for service manuals parts lookup and technician copilots.
  • Architect and deploy RAG-based knowledge assistants trained on technical documentation service data and IoT telemetry.
  • Work across data engineering modeling and deployment ensuring full lifecycle delivery and performance optimization.

    • 3. Cloud Engineering & MLOps

  • Deliver AI workloads on AWS (SageMaker Bedrock) Azure (ML OpenAI AI Studio) or GCP (Vertex AI Gemini) .
  • Implement MLOps / LLMOps practices for model versioning deployment automation and monitoring.
  • Deploy containerized solutions with Docker / Kubernetes and expose models through APIs (FastAPI Flask or similar).
  • Integrate with edge AI or IoT platforms for predictive and real-time inference scenarios.

    • 4. Domain Expertise Manufacturing & Service Lifecycle

  • Apply AI across the end-to-end product and service lifecycle including :

    • Product Design : Quality prediction digital twins defect classification.

  • Production : Process optimization yield improvement quality inspection using computer vision.
  • Aftermarket Services : Predictive maintenance spare parts forecasting intelligent service documentation.
  • Warranty & Field Data Analytics : Root cause analysis failure mode detection service call optimization.
  • Design GenAI copilots for service engineers and dealerships integrating technical documentation sensor data and knowledge graphs.
  • Enable closed-loop feedback between engineering manufacturing and service through intelligent automation.

    • 5. Thought Leadership & Enablement

  • Represent the organization in client solutioning sessions RFPs and innovation showcases .
  • Mentor teams in full stack AI development industrial AI frameworks and GenAI best practices.
  • Collaborate with domain and product experts to evolve AI-driven SLM accelerators and reference architectures.

    • Required Skills & Qualifications

  • 12 15 years of experience in AI / ML with at least 2 years in Generative AI LLMs or Agentic AI .
  • Strong foundation in machine learning deep learning and industrial AI (vision NLP time series) .
  • Expertise in Python and ML frameworks such as TensorFlow PyTorch Scikit-learn Hugging Face and LangChain.
  • Proven experience delivering solutions on AWS / Azure / GCP cloud environments.
  • Hands-on experience with containerization (Docker) orchestration (Kubernetes) and API deployment .
  • Familiarity with MLOps / LLMOps tools (MLflow Azure ML Vertex AI Pipelines Kubeflow).
  • Strong understanding of manufacturing operations IoT / edge AI and service lifecycle data models .
  • Excellent communication and presentation skills for engaging technical and business stakeholders.

    • Preferred Skills

  • Exposure to Digital Twin frameworks predictive maintenance systems and industrial IoT architectures .
  • Experience with vector databases (Pinecone Weaviate FAISS Azure AI Search).
  • Knowledge of PLM ERP and SLM platforms (PTC Windchill Siemens Teamcenter SAP S / 4HANA etc.).
  • Background in automotive commercial vehicles or heavy equipment manufacturing .
  • Certification in Azure AI Engineer AWS Machine Learning Specialty or GCP Professional ML Engineer .

    • #AIConsultant #ManufacturingAI #GenerativeAI #MachineLearning #DeepLearning #IndustrialAI #ServiceLifecycleManagement #DigitalTwins #PredictiveMaintenance #IoT #EdgeAI #MLOps #LLMOps #CloudAI #AWS #Azure #GCP #LangChain #HuggingFace #VectorDatabases #PLM #ERP #SLM #SantaClaraJobs #TechCareers #AIJobs

    Key Skills

    Lean Manufacturing,Six Sigma,Continuous Improvement,ISO 9001,Lean Six Sigma,Management Experience,Manufacturing & Controls,5S,Manufacturing Management,Kaizen,Chemistry,Manufacturing

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Ai Consultant • Santa Clara County, California, USA

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