Principal AI/ML Architect Job in USA 2025 (USD 150,000 to 200,000)

Position Overview

Are you ready to elevate your career in artificial intelligence and machine learning? Mogi I/O is hiring a Principal AI/ML Architect to lead innovative solutions in the industrial and automotive sectors. This full‑time role, based in San Jose, California, focuses on developing and scaling AI solutions within manufacturing, heavy equipment, and commercial vehicles. With a Compensation of USD 150,000 to 199,000 plus bonuses, you’ll enjoy competitive pay along with outstanding career growth opportunities. Mogi I/O is renowned for its innovative approach in OTT, podcast, and short video applications, leveraging advanced AI to enhance user experiences.

Key Responsibilities

• Identify AI Use Cases: Lead workshops to uncover potential AI solutions that drive business value.
• Develop Proofs of Concept: Create prototypes to validate AI applications for various needs.
• Design AI Pipelines: Build effective pipelines for applications such as vision, NLP, and time‑series analysis.
• Deploy AI Solutions: Implement comprehensive AI solutions on platforms like AWS, Azure, or GCP.
• Manage MLOps Pipelines: Ensure efficient deployment and monitoring of AI models using tools like Docker and Kubernetes.
• Innovate and Optimize: Create predictive maintenance and defect detection systems to enhance operational efficiency.
• Client Engagement: Lead presentations and demonstration sessions for clients to showcase AI innovations.
• Mentor Teams: Work with junior staff to improve their AI skills and contribute to reusable frameworks.

Required Qualifications

• Experience: 12-15 years in AI/ML, including 2+ years focused on Generative AI and related technologies.
• Technical Proficiency: Strong knowledge in machine learning, deep learning, and natural language processing.
• Framework Expertise: Familiarity with Python and ML frameworks such as TensorFlow, PyTorch, and scikit‑learn.
• Cloud Experience: Proven ability in deploying AI solutions on cloud platforms like AWS, Azure, or GCP.
• Operational Knowledge: Understanding of manufacturing operations, IoT, and service lifecycle management (SLM) data models.
• Communication Skills: Excellent client‑facing abilities for effective stakeholder engagement and project collaboration.

Preferred Qualifications

• Experience with Digital Twins and Industrial IoT applications.
• Knowledge of vector databases like Pinecone and Weaviate.
• Familiarity with PLM and ERP systems such as PTC Windchill and SAP S/4HANA.
• Relevant cloud AI certifications (AWS ML Specialty, Azure AI Engineer).