What are the responsibilities and job description for the AI Architect - (Manufacturing domain) -HYBRID Santa Clara/New Jersey/ Dallas position at SAIS IT Services?
AI Consultant – Manufacturing | Location: Santa Clara, CA (3 days from Office)
3 locations - Santa Clara/New Jersey/ Dallas- Hybrid
Job Description
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.
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.
Job Type: Full-time
Pay: $94,139.87 - $200,000.74 per year
Work Location: In person
Salary : $94,140 - $200,001
