Technical Architect – AI/ML & LLM
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-01-12
Listing for:
Lorven Technologies, Inc.
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below
Technical Architect AI/ML, LLM
Location:
Santa Clara, CA 95054 (Onsite)
Full-Time
OverviewWe are hiring a Technical Architect AI/ML strong-on experience in Large Language Models (LLMs) to design, build, and deploy production-grade AI solutions. This role focuses on advanced model development, cloud deployment, and responsible AI practices, working closely with engineering, data, and LLM Ops teams.
Key Responsibilities- Design, develop, and deploy advanced AI/ML and LLM-based models
- Collaborate with data engineering, LLM Ops, and software teams on end-to-end AI solutions
- Evaluate, fine-tune, and optimize models for performance, scalability, and reliability
- Research emerging AI/ML technologies and recommend innovative approaches
- Integrate AI models into applications using APIs and pipelines
- Troubleshoot deployment and integration issues proactively
- Mentor junior engineers and review models/code for best practices
- Communicate complex AI concepts clearly to technical and non-technical stakeholders
- Work in Agile/Scrum environments using tools such as Jira or Azure Dev Ops
- 6-10 years of experience in AI/ML or Deep Learning
- 2-3 years hands-on experience with LLMs, NLP, or speech/voice AI
- 3-5 years deploying AI models in production environments
- Strong experience with Python, PyTorch, Tensor Flow, or similar frameworks
- Experience designing, training, and fine-tuning AI or language models
- Hands-on experience with cloud AI platforms (AWS Sage Maker, Azure ML, or Google Cloud Platform AI)
- Experience integrating AI models via APIs or pipelines
- Knowledge of model evaluation, bias detection, optimization, and Responsible AI
- Strong mathematical and statistical foundation
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
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