Mogi I/O Ltd.
AI Solutions Architect – Automotive & Heavy Equipment
Mogi I/O Ltd., Santa Clara, California, us, 95053
AI Solutions Architect – Automotive & Heavy Equipment
Work Type:
Direct Hire / Full-Time
Experience:
10 – 21 Years
Compensation:
USD 150,000 – 199,000 Per Annum plus up to 20% bonus
Eligibility:
Green Card Holders, US Citizens, H1B Transfer
Travel Requirement:
As Required (Client Workshops & Solutioning)
Key Responsibilities
Identify AI use cases, lead workshops, and design scalable solutions.
Build PoCs and prototypes to validate business value.
Develop AI pipelines for vision, NLP, and time-series.
Build GenAI apps, agent workflows, and RAG‑based knowledge systems.
Own end‑to‑end delivery from data to deployment.
Deploy AI solutions on AWS/Azure/GCP.
Implement MLOps pipelines, CI/CD, and monitoring.
Deploy models via Docker/Kubernetes and APIs.
Apply AI to design, production, quality, and service operations.
Build predictive maintenance, defect detection, and process optimization solutions.
Lead client presentations and innovation demos.
Mentor teams and contribute to reusable AI frameworks.
Must‑Have Qualifications
12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.
Strong expertise in ML, DL, NLP, vision systems, and time‑series modeling.
Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit‑learn, Hugging Face, LangChain.
Proven cloud delivery experience on AWS / Azure / GCP.
Hands‑on experience with Docker, Kubernetes, and API deployment.
Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.
Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.
Excellent communication & client‑facing skills.
Nice‑to‑Have Qualifications
Experience with Digital Twins, Predictive Maintenance, Industrial IoT.
Knowledge of vector databases: Pinecone, Weaviate, FAISS, Azure AI Search.
Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.
Automotive, commercial vehicle, or heavy machinery industry background.
Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Engineering and Information Technology
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Direct Hire / Full-Time
Experience:
10 – 21 Years
Compensation:
USD 150,000 – 199,000 Per Annum plus up to 20% bonus
Eligibility:
Green Card Holders, US Citizens, H1B Transfer
Travel Requirement:
As Required (Client Workshops & Solutioning)
Key Responsibilities
Identify AI use cases, lead workshops, and design scalable solutions.
Build PoCs and prototypes to validate business value.
Develop AI pipelines for vision, NLP, and time-series.
Build GenAI apps, agent workflows, and RAG‑based knowledge systems.
Own end‑to‑end delivery from data to deployment.
Deploy AI solutions on AWS/Azure/GCP.
Implement MLOps pipelines, CI/CD, and monitoring.
Deploy models via Docker/Kubernetes and APIs.
Apply AI to design, production, quality, and service operations.
Build predictive maintenance, defect detection, and process optimization solutions.
Lead client presentations and innovation demos.
Mentor teams and contribute to reusable AI frameworks.
Must‑Have Qualifications
12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.
Strong expertise in ML, DL, NLP, vision systems, and time‑series modeling.
Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit‑learn, Hugging Face, LangChain.
Proven cloud delivery experience on AWS / Azure / GCP.
Hands‑on experience with Docker, Kubernetes, and API deployment.
Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.
Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.
Excellent communication & client‑facing skills.
Nice‑to‑Have Qualifications
Experience with Digital Twins, Predictive Maintenance, Industrial IoT.
Knowledge of vector databases: Pinecone, Weaviate, FAISS, Azure AI Search.
Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.
Automotive, commercial vehicle, or heavy machinery industry background.
Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).
Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Engineering and Information Technology
#J-18808-Ljbffr